Codebook for Lewis R. Binford Forager Data. ============================================================ SOURCE: Binford, L. R. (2001). Constructing frames of reference: an analytical method for archaeological theory building using ethnographic and environmental data sets. University of California, Berkeley. ----------------------------------------------------------- seq339. Sequence number Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 170 min 1 max 339 sd 98.005 groupno. Group number Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 192.13 min 1 max 390 sd 112.851 name. Version 1 of society name Class=character; Type=categorical; Number non-missing=339; Number of unique values=339 First six non-missing records: society name Punan Punan_(Borneo) Batek Batek_Phillipines Kubu Kubu-(Ridan) Shompen Shompen Onge Onge Jarwa Jarwa year. Year of ethnography Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=59 Stat Value nobs 339 mean 1886.218 min 1570 max 1990 sd 49.487 ethref. Ethnographies used as source of forager data. The pinpointing date is in parentheses. Class=character; Type=categorical; Number non-missing=235; Number of unique values=197 First six non-missing records: society ethref Punan Kedit 1982 Harrison 1949 Avadhani 1975 Batek Eder 1987 Cadelina 1982 Shompen Rivzi 1990 Onge Heine-Geldern Hoehn-Gerlachstein 1958 Sen 1962 Cooper 1991 Jarwa Temple 1903 Radcliffe-Brown 1948 Semang Schebesta 1954 Skeat & Blagden 1906 | Kuchikura 1988 (1880s) eanumber. Ethnographic Atlas society number (manual coding) Class=numeric; Type=categorical; Number non-missing=207; Number of unique values=207 Stat Value nobs 207 mean 464.343 min 1 max 1248 sd 236.76 eafolk. Ethnographic Atlas society name (manual coding) Class=character; Type=categorical; Number non-missing=212; Number of unique values=209 First six non-missing records: society eafolk Punan PUNAN . . Kubu KUBU. . . Semang SEMANG. . Vedda VEDDA . . Chenchu CHENCHU . Ho HO. . . . wnainumb. Western North American Indian ID number (manual coding) Class=numeric; Type=categorical; Number non-missing=84; Number of unique values=84 Stat Value nobs 84 mean 68.643 min 2 max 155 sd 42.787 wnaisociety. Western North American Indian society name (manual coding) Class=character; Type=categorical; Number non-missing=84; Number of unique values=84 First six non-missing records: society wnaisociety Cahuilla Desert Cahuilla Cupeno Cupeno Kiliwa Kaliwa Diegueno Desert Diegueno Lake Yokuts Lake Yokuts Serrano Serrano badlangiso. Flag: possibly inaccurate language classification and code Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value Description 327 0 accurate 12 1 possibly inaccurate wldsec. World sector Class=character; Type=categorical; Number non-missing=339; Number of unique values=5 Freq Value Description 20 Africa Africa 28 asia asia 56 Aust. Aust. 214 NoAmer NoAmer 21 SoAmer SoAmer secno. Detailed world sector (North America subdivided) Class=character; Type=categorical; Number non-missing=339; Number of unique values=10 Freq Value Description 28 a a 21 b b 20 c c 56 d d 47 f f 44 g g 19 h h 31 i i 51 j j 22 k k wc.area. Culture area Class=character; Type=categorical; Number non-missing=339; Number of unique values=10 Freq Value Description 20 AFR AFR 30 ARC ARC 23 ASIA ASIA 56 AUS AUS 42 BC NWC BC NWC 1 ENA ENA 32 NNA NNA 20 SOAM SOAM 98 SW SW 17 WNA WNA wcont. Continent of society Class=character; Type=categorical; Number non-missing=124; Number of unique values=5 Freq Value Description 20 AFRICA AFRICA 56 AUSTRALIA AUSTRALIA 16 EURASIA EURASIA 12 INDIA INDIA 20 SA SA 215 NA NA wlocation. Location of society Class=character; Type=categorical; Number non-missing=339; Number of unique values=67 First six non-missing records: society wlocation Punan Indonesia Batek Philippines Kubu Indonesia Shompen Nicobar Islands Onge Andaman Islands Jarwa Andaman Islands longitude. Longitude (decimal degrees) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=319 Stat Value nobs 339 mean -44.976 min -170.31 max 170.08 sd 105.943 latitude. Latitude (decimal degrees) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=324 Stat Value nobs 339 mean 26.228 min -60 max 77.49 sd 32.393 vegclass. Classification by vegetation type--gross classification Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=12 Freq Value Description 27 1 Low-Latitude Rainforests 7 2 Subtropical Evergreen Forests 3 3 Mid-Latitude Deciduous Forest 42 4 Coastal Forest 60 5 Cold Needleleaf Forests 23 6 Sclerophyllous Vegetation 43 7 Tropical Raingreen Vegetation 3 8 Tall Grass Prairie 29 9 Short Grass Prairie 63 10 Semidesert 19 11 Desert Shrub Desert 20 12 Tundra vegnu. Classification by vegetation type ; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=24 Freq Value Description 20 1 Tropical Rainforest 28 2 Tropical Monsoon Forest 5 3 Broadleaf Savanah Woodland 7 4 Subtropical Broadleaf Evergreen Forest 10 6 Thorntree Tall Grass Tropical Savanah 7 7 Tropical Montane Forest 3 8 Tall Grass Prairie 5 9 Sclerophyllous Scrub/ Chaparral 3 10 Mid-Latitude Deciduous Forest 42 11 Coastal Forest 3 12 Mixed Boreal and Deciduous Forest 3 13 Desert Thorn Forest and Thorn Woodland transition 4 14 Midlatitude Lake Forest 3 16 Australian Sclerophyllous Tree Savanah 42 17 Boreal Forest 29 18 Short Grass Prairie 11 19 Thorntree Desert Grass Savanah 1 20 Larch dominated Boreal Forest 10 22 Boreal Parkland transition 15 23 Australian Sclerophyll Forest 10 24 Desert with Porcupine Grass 49 25 Semidesert Scrub and Woodland 20 26 Tundra 9 27 Semidesert Scrub soil. Primary soil type characteristic of a group's range; (Table: 5.01); (Binford 2001:117) Class=character; Type=categorical; Number non-missing=339; Number of unique values=10 Freq Value Description 59 A Alfisols 68 D Aridisols 17 H Histisols and Entisols 2 I Inceptisols 33 M Mollisols 18 O Oxisols 13 S Spodosols 36 T Tundra (mostly Inceptisols) 91 U Ultisols 2 V Vertisols setting. Drainage type for land area; (Table: 6.01); (Binford 2001:168) Class=character; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value Description 86 Coastal Coastal 21 Lake Lake 53 Pan or internal drainage Pan or internal drainage 179 Stream or river Stream or river dposit. Position in drainage system (distance from territory to headwaters of drainage system)/(length of drainage system) ; (Equation: headwat/drain); (Binford 2001:168) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=225 Stat Value nobs 339 mean 0.428 min 0 max 1 sd 0.367 headwat. Distance from water source to the headwaters of the drainage (measured along the stream) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=127 Stat Value nobs 339 mean 134.709 min 0 max 2810 sd 317.37 drain. Total length (in miles) of drainage system. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=161 Stat Value nobs 339 mean 404.513 min 1 max 3700 sd 599.68 h10. Measure of altitudinal maximum at a circle with a 10 mile radius. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=192 Stat Value nobs 339 mean 1766.46 min 20 max 10600 sd 1933.592 h25. Measure of altitudinal maximum at a circle with a 25 mile radius. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=207 Stat Value nobs 339 mean 2212.897 min 1 max 11400 sd 2163.871 h50. Measure of altitudinal maximum at a circle with a 50 mile radius. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=211 Stat Value nobs 339 mean 2660.186 min 1 max 16000 sd 2279.017 l10. Measure of altitudinal minimum at a circle with a 10 mile radius. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=146 Stat Value nobs 339 mean 892.386 min -156 max 7000 sd 1292.51 l25. Measure of altitudinal minimum at a circle with a 25 mile radius. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=154 Stat Value nobs 339 mean 794.72 min -240 max 8000 sd 1269.012 l50. Measure of altitudinal minimum at a circle with a 50 mile radius. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=133 Stat Value nobs 339 mean 669.749 min -240 max 6000 sd 1200.697 maxrange. Difference between the lowest recorded point of elevation and the highest recorded point of elevation Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=265 Stat Value nobs 339 mean 2202.584 min 20 max 15960 sd 2047.894 latgroup. Binary indicator of proximity to equator Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value Description 173 1 <= 40 degrees 166 2 > 40 degrees et. Effective temperature; (Equation: 4.01); (Table: 4.01); (Binford 2001:58) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=336 Stat Value nobs 339 mean 14.617 min 8.641 max 25.512 sd 3.894 cmat. Mean annual temperature (degrees C); (Table: 4.01); (Binford 2001:58) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=336 Stat Value nobs 339 mean 12.085 min -16.241 max 28.987 sd 10.645 mcm. Mean temperature of coldest month (degrees C); (Table: 4.01); (Binford 2001:59) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=314 Stat Value nobs 339 mean 2.6 min -36.92 max 27.39 sd 15.558 mwm. Mean temperature of warmest month (degrees C); (Table: 4.01); (Binford 2001:59) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=276 Stat Value nobs 339 mean 21.335 min 4 max 39 sd 6.527 temp. Temperateness; (Equation: 4.02); (Binford 2001:59) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=336 Stat Value nobs 339 mean 51.726 min 19.017 max 85.426 sd 13.325 mtemp. Evenness in temperature across seasons; (Equation: 4.03); (Binford 2001:68) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=336 Stat Value nobs 339 mean 70.59 min 14.161 max 98.872 sd 19.429 clim. Ordination of the Earth's climates by effective temperature; (Table: 4.02); (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=7 Freq Value Description 19 1 ET<10.00 97 2 ET 10.00 to 12.49 90 3 ET 12.50 to 14.55 52 4 ET 14.56 to 16.61 20 5 ET 16.62 to 18.15 43 6 ET 18.16 to 22.57 18 7 ET >=22.58 crr. Annual rainfall (mm); (Table: 4.01); (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 820.414 min 41.422 max 3649.842 sd 745.761 rhigh. Mean rainfall of wettest month (mm); (Table: 4.01); (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=329 Stat Value nobs 339 mean 145.634 min 6.35 max 753.872 sd 129.309 rlow. Mean rainfall of driest month (mm); (Table: 4.01); (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=253 Stat Value nobs 339 mean 17.801 min 0.001 max 255.651 sd 30.749 reven. Unevenness in rainfall across seasons; (Equation: 4.04); (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 2.249 min 1.194 max 5.257 sd 0.673 mrain. Evenness in rainfall across seasons (higher values => more even); (Equation: 4.06); (Binford 2001:72) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 14.339 min 0 max 70.409 sd 15.936 avwat. Moisture ordination of climates; (Table: 4.05); (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value Description 17 1 PTOAE > 5.0 86 2 2.25 50 24 4 1.41 50 18 5 1.41 3.4 and PTOAE > 1.23 54 7 PTOAE=1.41 and PTOWATD > 3.4 and 1.01 3.4 and PTOAE=1.01 sdtemp. Standard deviation of mean monthly temperature; (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=337 Stat Value nobs 339 mean 6.826 min 0.248 max 18.402 sd 4.175 sdrain. Standard deviation of mean monthly rainfall; (Binford 2001:70) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 45.818 min 1.838 max 262.418 sd 44.042 rrcorr. Difference between month with greatest rainfall and that with highest temp. Using the warmest month as a reference point, the number of months (or parts thereof), positive or negative, that separate the wettest month from the warmest month; (Binford 2001:71) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=15 Freq Value 6 -4 4 -3 17 -2 29 -1 2 -0.5 32 0.1 59 1 2 1.5 33 2 28 3 19 4 41 5 54 6 1 6.5 12 7 rrcorr2. Positive scale for rrcorr: add 4.5 to rrcorr; if any subsequent values are negative, they are added to 12; (Table: 4.01); (Binford 2001:71) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=15 Freq Value 6 0.5 4 1.5 17 2.5 29 3.5 2 4 32 4.6 59 5.5 2 6 33 6.5 28 7.5 19 8.5 41 9.5 54 10.5 1 11 12 11.5 rrcorr3. Like rrcorr2, except that in environments with a 12-month growing season, the value is set to 4.5 ; (Binford 2001:71) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=15 Freq Value 5 0.5 2 1.5 16 2.5 24 3.5 2 4 133 4.5 22 4.6 36 5.5 1 6 13 6.5 8 7.5 12 8.5 22 9.5 37 10.5 6 11.5 season. Season with greatest rainfall (derived from rrcorr2); (Binford 2001:71) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value Description 27 1 Spring 122 2 Summer 82 3 Fall 108 4 Winter medstab. Mediterranean climate indicator (higher values => more Mediterranean); (Equation: 4.05); (Binford 2001:72) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=336 Stat Value nobs 339 mean 0.57 min 0 max 6.32 sd 0.895 growc. Effective growing season (number of months in growing season); (Table: 4.07); (Binford 2001:73) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 10 0 5 1 8 2 23 3 13 4 33 5 28 6 47 7 6 8 13 9 12 10 8 11 133 12 pet. Potential evapotranspiration; (Table: 4.07); (Binford 2001:75) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 837.407 min 118.493 max 1867.689 sd 411.298 ae. Actual evapotranspiration; (Table: 4.07); (Binford 2001:74) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 505.914 min 87.06 max 1794.469 sd 368.589 watret. Quantity of water actually present in the soil; (Table: 4.07); (Binford 2001:75) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=303 Stat Value nobs 339 mean 60.928 min 0 max 373.93 sd 62.241 watd. Water deficit; (Table: 4.07); (Binford 2001:75) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=314 Stat Value nobs 339 mean 331.493 min 0 max 1308.472 sd 291.246 snowac. Snow accumulation; (Table: 4.07); (Binford 2001:75) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=141 Stat Value nobs 339 mean 40.123 min 0 max 825.869 sd 91.044 ptoae. Potential evapotranspiration relative to actual evapotranspiration (low values have higher plant growth potential); (Equation: pet/(1+ae)); (Binford 2001:78) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=314 Stat Value nobs 339 mean 2.166 min 1 max 16.029 sd 1.598 hirx. Potential evapotranspiration relative to annual rainfall. Values less than 1 tend to be forested, greater than 1 arid, and around 1 savannas and steppes.; (Equation: pet/ccr); (Binford 2001:78) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 1.93 min 0.164 max 33.691 sd 2.443 ptowatd. Potential evapotranspiration relative to water deficit (high values imply high plant growth potential); (Equation: pet/(1+watd)); (Binford 2001:78) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 85.983 min 1.067 max 1794.469 sd 282.246 watdgrc. Number of months during growing season in which water deficit occurs; (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 36 0 24 1 29 2 61 3 31 4 44 5 35 6 26 7 18 8 3 9 5 10 3 11 24 12 defper. Percentage of growing season with a water deficit; (Equation: 4.08); (Table: 4.07); (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=38 Stat Value nobs 339 mean 57.293 min 0 max 100 sd 31.818 perwret. Percentage of growing season with water stored in soil; (Equation: 4.07); (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=35 Stat Value nobs 339 mean 0.44 min 0 max 1 sd 0.309 perwltg. Percentage of growing season for which water available is below the wilting point for plants; (Equation: 4.09); (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=34 Stat Value nobs 339 mean 0.319 min 0.001 max 1 sd 0.285 wltgrc. Number of months plants would wilt because of water deficit; (Table: 4.07); (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 112 0 38 1 23 2 40 3 43 4 20 5 25 6 8 7 12 8 10 9 5 10 2 11 1 12 nagp. Net above-ground productivity: new cell life added to a habitat as a result of photosynthesis and growth (g/sqm/yr); (Equation: 4.10); (Table: 4.07); (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 856.726 min 36.316 max 5514.851 sd 1065.582 lnagp. Log 10 of nagp; (Binford 2001:79) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 2.663 min 1.56 max 3.742 sd 0.485 bio5. Primary biomass; (Table: 4.07); (Binford 2001:85) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 12331.859 min 27.475 max 59274.804 sd 13284.047 lbio5. Log 10 of bio5; (Binford 2001:85) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 3.77 min 1.439 max 4.773 sd 0.624 bar5. Biomass accumulation ratio; (Equation: 4.15); (Table: 4.07); (Binford 2001:85) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 17.827 min 0.555 max 72.085 sd 14.21 lexprey. (Log of) Secondary animal biomass; (Binford 2001:109) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 2.303 min 0.668 max 3.938 sd 0.543 sucstab2. Modified successional stability (a measure of likelihood of vegetation-clearing fires); (Binford 2001:171) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 10.884 min 0.003 max 78.706 sd 13.268 tlpop. Total number of persons to whom the ethnographic description applies; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=249 Stat Value nobs 339 mean 1697.854 min 23 max 14582 sd 2356.97 area. Ethnographers' estimate of total land area occupied by the group (100 sqkm); (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=295 Stat Value nobs 339 mean 388.75 min 0.8 max 6600 sd 832.748 density. Population density (==tlpop/area); (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=302 Stat Value nobs 339 mean 24.586 min 0.25 max 308.7 sd 36.085 group1. Size of smallest group that regularly cooperates for subsistence; smallest self-sufficient group; (Table: 5.01 & 8.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=227; Number of unique values=79 Stat Value nobs 227 mean 17.647 min 5.6 max 70 sd 9.707 group2. The mean size of the consumer group that regularly camps together during the most aggregated phase of the yearly economic cycles; (Table: 5.01 & 8.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=297; Number of unique values=124 Stat Value nobs 297 mean 74.908 min 19.5 max 650 sd 85.42 group3. The mean size of multigroup encampments that may aggregate periodically, but not necessarily annually, for immediate subsistence-related activities; (Table: 5.01 & 8.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=216; Number of unique values=114 Stat Value nobs 216 mean 209.342 min 42 max 1500 sd 182.688 lden. Log 10 of density; (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=216 Stat Value nobs 339 mean 0.947 min -0.509 max 2.49 sd 0.696 lnpop. Natural log of tlpop; Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=248 Stat Value nobs 339 mean 6.729 min 3.135 max 9.588 sd 1.252 diasz. Number of people in dialect group Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=255 Stat Value nobs 339 mean 865.434 min 14 max 10000 sd 1347.71 subpop. Designates normal (n) vs exceptional (x) cases; (Table: 5.01); (Binford 2001:117) Class=character; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value Description 284 n n 55 x x wsubpop. Flags societies that are suspected to be not pure foragers (Binford 2001:117) Class=character; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value Description 284 HGF only HGF only 55 suspect suspect hunting. Percent dependence on terrestrial animals; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=48 Stat Value nobs 339 mean 33.119 min 0 max 90 sd 20.033 gatherin. Percent dependence on terrestrial plants; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=39 Stat Value nobs 339 mean 34.525 min 0.01 max 90.3 sd 24.888 fishing. Percent dependence on aquatic organisms ; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=60 Stat Value nobs 339 mean 32.391 min 0 max 95 sd 27.316 subsp. Which food type (hunted, gathered, fished) provides majority of nutritional intake; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 80 1 Hunting 142 2 Gathering 117 3 Aquatics store. Dependence upon storage; (Binford 2001:388) Class=numeric; Type=ordinal; Number non-missing=337; Number of unique values=3 Freq Value Description 110 1 Not present 10 2 Special event storage only 217 3 Stored for use during seasonal and/or other low productivity phases of year 2 NA NA subsp.1. Primary source of food (character version of subsp); (Binford 2001:388) Class=character; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 117 Aquatics Aquatics 142 Gathering Gathering 80 Hunting Hunting qtstor. Quantity of food stored ; (Binford 2001:389) Class=numeric; Type=ordinal; Number non-missing=337; Number of unique values=4 Freq Value Description 113 1 Minor 32 2 Moderate 153 3 Major 39 4 Massive 2 NA NA subdiv2. Subsistence diversity; (Equation: 100-stddev("hunting","gatherin","fishing") ); (Binford 2001:403,fn2) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=92 Stat Value nobs 339 mean 72.343 min 46.55 max 94.23 sd 10.78 sudivord. Ordinal simplification (5 categories) of subdiv2.; (Binford 2001:404) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=5 Freq Value Description 11 1 46.55 <=subdiv2<= 50.68 37 2 50.76 <=subdiv2<= 60.05 118 3 61.81 <=subdiv2<= 72.21 108 4 72.46 <=subdiv2<= 82.44 65 5 83.2 <=subdiv2<= 94.23 noantrap. The number of (types of) animal traps documented for the group. Class=numeric; Type=ordinal; Number non-missing=41; Number of unique values=17 Freq Value 2 0 3 2 3 3 4 4 5 5 2 6 3 7 3 9 4 10 1 11 3 12 2 13 2 14 1 15 1 18 1 20 1 27 298 NA noantrapgrp. Ordinal simplification of noantrap Class=numeric; Type=ordinal; Number non-missing=41; Number of unique values=4 Freq Value Description 5 1 number of traps<=2 12 2 3<=number of traps<=5 12 3 6<=number of traps<=10 12 4 11<=number of traps<=27 298 NA NA hunt. Degree to which males conduct hunting, relative to females. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=6 Freq Value Description 6 0 Activity important, sex roles unknown 1 2 Both sexes, but females more 1 3 Equal participation 69 4 Both sexes, but males more 261 5 Males alone 1 6 Activity unimportant gath. Degree to which males conduct gathering, relative to females. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=6 Freq Value Description 6 0 Activity important, sex roles unknown 158 1 Females alone 152 2 Both sexes, but females more 9 3 Equal participation 3 4 Both sexes, but males more 11 6 Activity unimportant fish. Degree to which males conduct fishing, relative to females. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=7 Freq Value Description 6 0 Activity important, sex roles unknown 8 1 Females alone 15 2 Both sexes, but females more 108 3 Equal participation 124 4 Both sexes, but males more 30 5 Males alone 48 6 Activity unimportant mdivlab. Percentage of total diet derived from male labor; (Binford 2001:280) Class=numeric; Type=ordinal; Number non-missing=333; Number of unique values=105 Stat Value nobs 333 mean 60.994 min 21.25 max 99.99 sd 17.249 housex. The sexual division of labor in the construction of houses. Does not address the procurement of materials, only construction of the highest investment houses. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=5 Freq Value Description 88 1 Females alone 50 2 Both sexes, but females more 59 3 Equal participation 32 4 Both sexes, but males more 110 5 Males alone forcol. Code for forager-collector distinction; (Binford 2001:304) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 191 1 forager 1 1.5 mixed 147 2 collector grppat. Degree of mobility; (Table: 5.01); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value Description 235 1 Unrestricted mobility 104 2 Restricted mobility nomov. Total number of annual moves in residence of a household unit; (Table: 5.01 & 8.04); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=261; Number of unique values=39 Stat Value nobs 261 mean 9.695 min 0.1 max 58 sd 9.336 dismov. Total distance (in miles) residence moved in a year (sum of all moves); (Table: 5.01 & 8.04); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=236; Number of unique values=110 Stat Value nobs 236 mean 171.661 min 4 max 570 sd 143.703 dspmov. Distance per move (in miles) (dspmov=dismov/nomov); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=236; Number of unique values=147 Stat Value nobs 236 mean 16.275 min 2 max 45.545 sd 8.622 kspmov. Averge distance per move (in km) (kspmov=kmov/nomov); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=255; Number of unique values=143 Stat Value nobs 255 mean 24.614 min 0.16 max 73.28 sd 15.651 lkmov. Log 10 of kmov; (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=261; Number of unique values=92 Stat Value nobs 261 mean 1.932 min -1.79 max 2.96 sd 1.038 lkspmov. Log 10 of kspmov; (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=255; Number of unique values=85 Stat Value nobs 255 mean 1.243 min -0.79 max 1.87 sd 0.442 kmov. Summed distance (in km) moved per year by average household (kmov=dismov/.6214); (Binford 2001:117) Class=numeric; Type=ordinal; Number non-missing=261; Number of unique values=111 Stat Value nobs 261 mean 250.374 min 0.02 max 917.13 sd 234.411 mhs. Mean household size ; (Table: 8.08); (Binford 2001:147) Class=numeric; Type=ordinal; Number non-missing=232; Number of unique values=184 Stat Value nobs 232 mean 8.299 min 2.5 max 40 sd 6.169 famsz. Mean family size (total group size divided by number of married men); (Table: 8.08); (Binford 2001:286) Class=numeric; Type=ordinal; Number non-missing=136; Number of unique values=102 Stat Value nobs 136 mean 4.591 min 3 max 8 sd 1.094 hhtype. Household type; (Table: 8.08); (Binford 2001: 297) Class=character; Type=categorical; Number non-missing=115; Number of unique values=21 Freq Value Description 1 E large extended family 1 Ee large extended family (large extended family) 3 En large extended family (indep. Nuclear, occasional polygyny) 2 Ep large extended family (indep. non-sororal polygyn., cohabiting co-wives) 3 Er large extended family (indep. sororal polygyn., cohabiting co-wives) 5 Fm small extended family (indep. Nuclear, monogamous) 28 Fn small extended family (indep. Nuclear, occasional polygyny) 1 Fo small extended family (indep. polyandrous) 6 Fp small extended family (indep. non-sororal polygyn., cohabiting co-wives) 1 G stem family 1 GFn stem family; small extended family (indep. Nuclear, occasional polygyny) 4 Gn stem family (indep. Nuclear, occasional polygyny) 1 Gp stem family (indep. non-sororal polygyn., cohabiting co-wives) 1 GpGm stem family (indep. non-sororal polygyn., cohabiting co-wives); stem family (indep. Nuclear, monogamous) 1 Gr stem family (indep. sororal polygyn., cohabiting co-wives) 8 M indep. Nuclear, monogamous 34 N indep. Nuclear, occasional polygyny 1 Np indep. Nuclear, occasional polygyny (indep. non-sororal polygyn., cohabiting co-wives) 1 P indep. non-sororal polygyn., cohabiting co-wives 11 R indep. sororal polygyn., cohabiting co-wives 1 Sp indep. sororal polygyn., each wife own quarters (indep. non-sororal polygyn., cohabiting co-wives) 224 NA NA commun. Community organization. The prevalence of local endogamy, agamy, & exogamy coded together with the presence or absence of localized kin groups. Can be interpreted as ordinal measure of endogamy; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=categorical; Number non-missing=335; Number of unique values=5 Freq Value Description 76 1 Exogamous 122 2 Exogamous clan 47 3 Agamous 37 4 Endogamous Demed 53 5 Endogamous segmented 4 NA NA comstfun. The functions and properties of structures with specific community-wide functions. These are not residences, nor are they multifunctional residences.; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=7 Freq Value Description 237 1 No permanent community structures 36 2 Rituals and ceremmonies held in host's residence 21 3 Sweat lodge 24 4 Dance house 13 5 Dance house or men's house, and sweat house 7 6 Functionally specific community house 1 7 Complex of community structures present famhous. Average number of families per household (==mhs/famsz); (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=112; Number of unique values=87 Stat Value nobs 112 mean 1.837 min 0 max 9.01 sd 1.539 packinx. Density rescaled to fit population packing concept: packinx=density/9.098; (Binford 2001:374) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=227 Stat Value nobs 339 mean 2.703 min 0.03 max 33.93 sd 3.966 lpackinx. Log 10 of packinx; (Binford 2001:375) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=191 Stat Value nobs 339 mean -0.015 min -1.56 max 1.53 sd 0.699 packord. Ordinal measure for packing. The packing threshold is the value of population density at which there is one minimal group per foraging radius (20.47 persons/225 sq km = 9.1 persons), thus indicating a density value at which there is no longer unoccupied space into which mobile hunter-gatherers could move; (Binford 2001:375) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value Description 23 1 0.03 to 0.07 137 2 0.07 to 0.99 132 3 1 to 5.65 47 4 5.89 to 33.93 packing. Binary variable for population packing Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value Description 161 1 unpacked 178 2 packed systate3recod. Recode of systate3 by DR White; (Binford 2001:375) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=7 Freq Value Description 20 2 horticulturally augmented cases 28 3 mutualists and forest products specialists 134 4 generic hunter-gatherers 21 5 generic hunter-gatherers with instituted leadership 81 6 wealth-differentiated hunter-gatherers 28 7 mounted hunters 27 8 stratified or characterized by elite and priviliged leaders systate3. Classification of foragers: system's state; (Table: 9.01); (Binford 2001:375) Class=numeric; Type=categorical; Number non-missing=338; Number of unique values=7 Freq Value Description 28 1 mounted hunters 19 2 horticulturally augmented cases 26 3 mutualists and forest products specialists 135 4 generic hunter-gatherers 25 5 generic hunter-gatherers with instituted leadership 79 6 wealth-differentiated hunter-gatherers 26 7 stratified or characterized by elite and priviliged leaders 1 NA NA huntfil2. Identifies mounted hunters. A binary variable produced from systate3; (Binford 2001:417) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value Description 311 1 all others 28 2 mounted hunters spacing. A normative estimate of the distance between houses in the settlement. Class=numeric; Type=ordinal; Number non-missing=163; Number of unique values=3 Freq Value Description 84 1 Tight spacing (2-8 m) 49 2 Moderate Spacing (9-20 m) 30 3 Wide spacing (21-80 m) 176 NA NA house80. House shape: Codes the shape of the ground plan of the most common type of shelter. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=5 Freq Value Description 10 1 Semicircular 206 2 Circular 18 3 Elliptical or elongated with rounded ends 104 4 Rectangular or square 1 5 Polygonal house81. Codes the character of the floor level within the house Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value Description 80 1 Subterranean or semi-subterranean, ignoring storage facilities 247 2 Floor formed by or level with ground 10 3 Elevated slightly above the ground on raised platform 2 4 Raised substantially above ground house82. Codes the character of the wall material used in constructing the house Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=6 Freq Value Description 15 1 Open walls 246 2 Walls indistinguishable from roof 13 3 Grass, leaves, bark or thatch 10 4 Processed or manufactured materials (locally made) 46 5 Wood 9 6 Stone and/or earth house83. Codes the shape of the roof or of walls and roof when the former are not distinct Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=5 Freq Value Description 20 1 Shed type with one slope 98 2 Beehive shaped with peak (conical forms) 131 3 Dome shapes, semi-hemispherical and hemispherical forms 7 4 Flat or horizontal 83 5 Gabled or hipped house84. Codes the material used in roofing for the dominant house form Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=6 Freq Value Description 159 1 Grass, leaves or thatch 35 2 Bark 9 3 Ice and Snow 55 4 Manufactured or processed materials 36 5 Wood 45 6 Earth or sod house85. Codes the shape of the ground plan of the most common type of shelter Class=numeric; Type=categorical; Number non-missing=243; Number of unique values=5 Freq Value Description 95 1 Semicircular 80 2 Circular 7 3 Elliptical or elongated with rounded ends 60 4 Rectangular or square 1 5 Polygonal 96 NA NA house86. Codes the character of the floor level within the shelter Class=numeric; Type=categorical; Number non-missing=241; Number of unique values=4 Freq Value Description 20 1 Subterranean or semi-subterranean, ignoring storage facilities 218 2 Floor formed by or level with ground 2 3 Elevated slightly above the ground on raised platform 1 4 Raised substantially above ground 98 NA NA house87. Codes the character of the wall material used in constructing the shelter Class=numeric; Type=categorical; Number non-missing=242; Number of unique values=5 Freq Value Description 49 1 Open walls 167 2 Walls indistinguishable from roof 11 3 Grass, leaves, bark or thatch 7 4 Processed or manufactured materials (locally made) 8 5 Wood 97 NA NA house88. Codes the shape of the shelters roof or of walls and roof when the former are not distinct Class=numeric; Type=categorical; Number non-missing=242; Number of unique values=5 Freq Value Description 92 1 Shed type with one slope 72 2 Beehive shaped with peak (conical forms) 36 3 Dome shapes, semi-hemispherical and hemispherical forms 13 4 Flat or horizontal 29 5 Gabled or hipped 97 NA NA house89. Codes the material used in roofing for the dominant shelter form Class=numeric; Type=categorical; Number non-missing=244; Number of unique values=5 Freq Value Description 141 1 Grass, leaves or thatch 37 2 Bark 50 4 Manufactured or processed materials 8 5 Wood 8 6 Earth or sod 95 NA NA sed. Degree of sedentism Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value Description 77 1 Fully nomadic 135 2 Semi-nomadic 103 3 Semi-sedentary 24 4 Seasonal permanence mobpat. Codes the mobility-group organizations of the subsistence-settlement pattern Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=6 Freq Value Description 137 1 Generalized collecting 12 2 Foraging 43 3 Tethered Foraging 94 4 Differentiated Collecting 48 5 Central Place Collecting 5 6 Central Place Foraging mobp2. Routed foraging where the group feeds between target locations that are annually visited for purposes of obtaining raw materials to maintain technology. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value Description 137 1 Routed foraging 50 2 General foraging 55 3 Central place foraging 97 4 Teathered foraging sz1fam. Size of a single family dwelling [size is reported as the diameter (m) of a circle with area equal to the area of the dwelling] Class=numeric; Type=ordinal; Number non-missing=143; Number of unique values=104 Stat Value nobs 143 mean 2.906 min 1.18 max 4.57 sd 0.786 szjoint. Size of a joint family dwelling [size reported as diameter (m) of a circle with area equal to the area of the dwelling] Class=numeric; Type=ordinal; Number non-missing=104; Number of unique values=80 Stat Value nobs 104 mean 5.177 min 2.46 max 9.51 sd 1.311 szcomu. Size of a communal dwelling [size reported as diameter (m) of a circle with area equal to the area of the dwelling] Class=numeric; Type=ordinal; Number non-missing=56; Number of unique values=53 Stat Value nobs 56 mean 10.825 min 4.75 max 19.25 sd 3.497 szmean. Mean dwelling size [size reported as diameter (m) of a circle with area equal to the area of the dwelling] Class=numeric; Type=ordinal; Number non-missing=206; Number of unique values=170 Stat Value nobs 206 mean 5.311 min 1.18 max 19.25 sd 3.391 hhtyp1. Primary household type, based on initial capital letter in code for hhtype; (Table: 8.08); (Binford 2001: 297) Class=numeric; Type=categorical; Number non-missing=115; Number of unique values=8 Freq Value Description 10 1 Large extended family 40 2 Small extended family 9 3 Stem family 8 4 Independent monogamous family 35 5 Independent nuclear family with limited polygyny 1 6 Independent non-sororal polygynous family, no separate quarters for co-wives 11 7 Independent sororal polygynous family, no separate quarters for co-wives 1 8 Independent sororal polygynous family, separate quarters for co-wives 224 NA NA g2mhs. Number of households per group2 (==group2/mhs); (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=218; Number of unique values=192 Stat Value nobs 218 mean 10.437 min 0.81 max 58.63 sd 9.607 prevalue. Variable is in Table 9.01. initial attempt at calculating G2MHS. unclear meaning.; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=218; Number of unique values=148 Stat Value nobs 218 mean 8.306 min 3.638 max 40.334 sd 4.82 mhsset. Classification by values of mhs and hougrp2. Initial version. (Table: 9.01); (Binford 2001:320) Class=numeric; Type=categorical; Number non-missing=219; Number of unique values=5 Freq Value 6 1 85 2 24 3 41 4 63 5 120 NA mhset2. Mean Household Size Set: the classification of the relationship between mhs and hougrp2; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=categorical; Number non-missing=218; Number of unique values=5 Freq Value 64 1 8 2 86 3 21 4 39 5 121 NA predg2mh. Initial attempt at calculating G2MHS. unclear meaning. (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=211; Number of unique values=141 Stat Value nobs 211 mean 7.613 min 3.64 max 40.64 sd 4.808 g2famsz. Number of families per group2 (==group2/famsz); (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=120; Number of unique values=114 Stat Value nobs 120 mean 12.403 min 3.14 max 52.8 sd 8.886 g1famsz. Number of families per group1 (==group1/famsz); (Equation: group1/famsz); (Table: 9.01); (Binford 2001:333) Class=numeric; Type=ordinal; Number non-missing=110; Number of unique values=100 Stat Value nobs 110 mean 3.794 min 1.23 max 8.21 sd 1.493 g1mhs. Number of households per group1 (==group1/mhs); (Equation: group1/mhs); (Table: 9.01); (Binford 2001:333) Class=numeric; Type=ordinal; Number non-missing=174; Number of unique values=146 Stat Value nobs 174 mean 2.981 min 0.27 max 9.55 sd 1.753 g2g1. Number of group1 units in a group2 unit; (Equation: group2/group1); (Binford 2001:336) Class=numeric; Type=ordinal; Number non-missing=217; Number of unique values=136 Stat Value nobs 217 mean 3.366 min 1.36 max 22.07 sd 1.969 g2mhset2. Classification based on relationship between mhs and group2; (Table: 9.01); (Binford 2001:337) Class=numeric; Type=categorical; Number non-missing=219; Number of unique values=8 Freq Value Description 42 1 mhs is extended family, group2<50 34 2 mhs variable but large, group2<=50 22 3 mhs varies positively with group2, with large communal houses and small group2 52 4 mhs varies linearly with group2, with both extended families and communal houses 33 5 mhs is extended family, group2 is variable 29 6 mhs slightly above 7, group2 much more variable 6 7 mhs is small, group2 large and variable 1 9 missing 120 NA NA g2mhset3. Simplified version of g2mhset2; (Table: 9.01); (Binford 2001:340) Class=numeric; Type=categorical; Number non-missing=217; Number of unique values=4 Freq Value Description 90 1 group2 small 54 2 mhs varies linearly with group 2 65 3 mhs small, group 2 variable 8 4 other 122 NA NA g2basord. Basal unit size for group2 --ordinal classification; (Table: 9.01); (Binford 2001:348) Class=numeric; Type=ordinal; Number non-missing=291; Number of unique values=13 Freq Value 12 2 47 3 60 4 48 5 44 6 1 6.2 21 7 19 8 10 9 10 10 8 11 6 12 5 13 48 NA hougrp2. Mean number of houses per group2 unit. (Equation: group2/mhs); (Binford 2001:344) Class=numeric; Type=ordinal; Number non-missing=222; Number of unique values=215 Stat Value nobs 222 mean 10.558 min 0.806 max 58.632 sd 9.712 money. Codes the presence or absence of the use of money within the society; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value Description 246 1 Absent 32 2 Rarely used 25 3 Commonly used 36 4 Many convertible items occspe. Occupational specialties reported which are not tied to the sexual division of labor or tendencies for role differences.; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value Description 260 1 Absent 39 2 Few (1-3) 28 3 Moderate (4-7) 12 4 Many (equal to or greater than 8) owners. Ownership of resource locations ; (Table: 9.01); (Binford 2001:426) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value Description 166 1 None reported 63 2 Local groups claims exclusive rights over resource locations, residential sites and home range 81 3 Local group claims hunting areas, dominant animals, fishing sites and animal drive locations 29 4 Elite ownership of land and resources indtrd. The organization of individual to individual trade in manufactured goods or raw materials across local group boundaries. Class=numeric; Type=categorical; Number non-missing=317; Number of unique values=6 Freq Value Description 68 1 Absent 147 2 Patron-client relationships or market trading 24 3 Embedded in other activities 52 4 Individually arranged 17 5 Conventionally organized 9 6 Family initiated 22 NA NA indtfo. The presence and form of exchanges where FOOD is one of the materials involved in exchanges across local group boundaries. Class=numeric; Type=categorical; Number non-missing=287; Number of unique values=4 Freq Value Description 119 1 Absent 130 2 Initiated by person seeking to trade with goods and/or money 17 3 Ritualized balanced direct exchange 21 4 Ritualized delayed balanced exchange 52 NA NA grptrd. The way of organizing group to group trade and exchange within a regio Class=numeric; Type=categorical; Number non-missing=296; Number of unique values=5 Freq Value Description 21 1 Does not occur as such 242 2 Trade and exchange embedded in other activities and relationships exclusively 18 3 Organized trade fairs or special trade events 12 4 Specialized regional traders utilized as group representatives to other groups 3 5 Group acts as regional focus of trade, others regularly come to exchange for surplus food (commonly available) 43 NA NA orgfair. Manner of organization of trade fairs or special trade events in which food is the primary commodity that is desired in exchange. Class=numeric; Type=categorical; Number non-missing=311; Number of unique values=7 Freq Value Description 217 1 Absent 11 2 Initiated by persons seeking to trade with goods or money to obtain food 2 3 Ritualized balanced direct exchange 45 4 Ritualized delayed balanced exchange 8 5 2 & 3 20 6 2 & 4 8 7 All forms 28 NA NA excorg. The characteristic exchange relationships between host unit and guest unit in intercommunity events when goods are supplied to guests, the group tabulated is the host and it is an event where exchange is a conventionally included part of the activities. Class=numeric; Type=categorical; Number non-missing=291; Number of unique values=6 Freq Value Description 97 1 Absent 63 2 Host supplies guests with items and guests reply with items 73 3 Exchange is food for food 26 4 Host supplies food, guests supply goods 20 5 Delayed reciprocity 12 6 Corporate or local group supported give-away events 48 NA NA perogat. The social and economic prerogatives which accompany the leadership role.; (Table: 9.01); (Binford 2001:338) Class=numeric; Type=ordinal; Number non-missing=337; Number of unique values=5 Freq Value Description 187 1 No special prerogatives 60 2 No relief from subsistence,but messengers as assistants 45 3 No relief from subsistence, but minor dress prerogatives,and messengers and speaker as assistants 34 4 Some relief from subsistence (contributions of goods and labor), dress prerogatives, assistants, and role for leaders wife 11 5 Complete relief from subsistence, distinctive clothing, many assistants, special marriage rules 2 NA NA leader. Predominant type of leadership; (Binford 2001:388) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value Description 174 1 leadership embedded in roles of older persons, based on knowledge and good advice 165 2 leaders are visible, recognized by all, have followers, and judged on performance polyscal. Measure of scale for the demographic and spatial scope of political organization.; (Table: 9.01); (Binford 2001:252) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value Description 56 1 Performance based leadership 168 2 Senior males provide an advisory type of leadership 102 3 Formal or informal council of advisors with recognized leader 13 4 Instituted leader who presides over a council of near "peers" class. Type of social class distinction; (Table: 9.01); (Binford 2001:320) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 224 1 Absence 87 2 Wealth distinctions only 28 3 Dual stratification into a hereditary aristocracy and a class of ordinary people polpos. Code refers to the political and economic position of the group relative to other groups in the region; (Table: 9.01); (Binford 2001:345) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 244 1 Mutualistic or patron-client relationship with people who live very different type of lives 35 2 Articulated with groups unlike themselves, but this appears to be done in self-interested way 60 3 Articulated to politically and socially more complex groups intform. Form of integration. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value Description 221 1 Cellular segmentation 118 2 Cross-cutting network headm. The patterns of succession of acknowledged leaders in the maximal politically integrated unit represented by the case. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 64 1 Absence 169 2 Non-hereditary succession to an acknowledged leadership role 106 3 Non-hereditary succession through influence shaman. Codes the presence and scale of shaman's rituals as a social and organized event beyond their functioning as curers, healers, etc. at the personal or family level. This also excludes rituals conducted only for shamans that may qualify as secret societies Class=numeric; Type=ordinal; Number non-missing=313; Number of unique values=4 Freq Value Description 120 1 Role is not restricted 122 2 Rare 49 3 All leaders are shaman 22 4 Shaman are politically powerful in their own right 26 NA NA intcon. Frequency of internal conflict. Class=numeric; Type=ordinal; Number non-missing=327; Number of unique values=3 Freq Value Description 65 1 Frequent 195 2 Moderate 67 3 Rare to absent 12 NA NA intres. The means culturally available for resolving conflict and/or deducing punishments, if any, within GP2. Class=numeric; Type=categorical; Number non-missing=324; Number of unique values=4 Freq Value Description 145 1 No institutionalized method 98 2 Ad hoc adjudicational body 39 3 Negotiated solutions 42 4 Publicly witnessed and conventional ways of resolving issues 15 NA NA gpgpcon. Scale of inter-group violence which is conducted with groups beyond the definition of GP2 and/or GP3 Class=numeric; Type=ordinal; Number non-missing=333; Number of unique values=4 Freq Value Description 73 1 None reported 132 2 Revenge raiding 101 3 Accelerative raiding 27 4 Accelerative conflicts of annihilation 6 NA NA gpgpres. The means available for resolving conflicts between groups as coded in GPGPCON. Class=numeric; Type=categorical; Number non-missing=337; Number of unique values=4 Freq Value Description 142 1 No public method for punishment 113 2 Peace is negotiated for each conflict 34 3 Negotiations normally result in payment 48 4 Negotiated settlements normally involve public duels 2 NA NA war1. Scale of intensity of warfare. How frequent and how widespread it may be regionally. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=5 Freq Value Description 169 1 No organized competition 91 2 Conflict is continually present on an on-again/off-again basis 61 3 Conflict is more common than in (2) and there are unprovoked attacks on intruders 11 4 Conflict is common in the region, but it may flare up to major proportions periodically 7 5 All properties of (4) and conflict is sustained and results in long term expansion of groups conpos. The posture of the particular group relative to the intensity of warfare within the region as coded in WAR. Class=numeric; Type=ordinal; Number non-missing=336; Number of unique values=3 Freq Value Description 125 1 Generally defensive through avoidance rather than active defense 157 2 Tit-for-tat 54 3 Generally aggressive 3 NA NA enemy. The treatment of the bodies of those killed in group-group conflicts. Class=numeric; Type=ordinal; Number non-missing=315; Number of unique values=4 Freq Value Description 177 1 No post-mortem mutilation 63 2 Minor trophies taken 52 3 Substantially mutilated and body parts may be eaten 23 4 Trophies taken 24 NA NA prison. Codes the treatment of prisoners upon return to the "home" group Class=numeric; Type=ordinal; Number non-missing=316; Number of unique values=3 Freq Value Description 181 1 No prisoners 63 2 Prisoners taken, generally women and children 72 3 Prisoners regularly taken 23 NA NA slave. Status of slaves in the society. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value Description 278 1 No slaves 32 2 Debt slaves or other non-hereditary slaves 29 3 Hereditary slavery warlead. Manner of choosing a leader in group-group conflict situations. Class=numeric; Type=ordinal; Number non-missing=331; Number of unique values=3 Freq Value Description 14 1 No such role 252 2 Result of individual commitment 65 3 Confirmed by a council 8 NA NA boyseg38. Codes the segregation of adolescent boys prior to initiation or at the time of puberty Class=numeric; Type=ordinal; Number non-missing=317; Number of unique values=3 Freq Value Description 193 1 Absence of segregation 59 2 Partial segregation 65 3 Total segregation 22 NA NA initm. Scale and elaborateness of male puberty rituals. Class=numeric; Type=ordinal; Number non-missing=317; Number of unique values=5 Freq Value Description 152 1 None 67 2 Minor ritual acknowledgement 47 3 Single step initiations 36 4 Multi-step series of graded maturational initiations 15 6 Differentiated and multiple initiation possibilites for young men 22 NA NA initexm. The degree of exclusiveness of the male centered rituals. (Do women observe or participate?) Class=numeric; Type=ordinal; Number non-missing=300; Number of unique values=5 Freq Value Description 154 1 Not germane 57 2 Both males and females may observe and participate in the ritual 13 3 Females may observe some rites but do not participate 31 4 Females may perform important roles in the initiation event 45 5 Females excluded from all aspects of initiation rites 39 NA NA initf. The scale and social investments in female puberty rites. Class=numeric; Type=categorical; Number non-missing=313; Number of unique values=5 Freq Value Description 62 1 None 67 2 Simple maturational recognition only 119 3 Seclusion, taboos and constraints on socializing 64 4 Local group or kin-sodality sponsored event with celebration 1 5 Family sponsored inviting-in feast 26 NA NA dom1. The collapsed classes of rituals as outlined in sections a-f above for the dominant ritual. Class=numeric; Type=categorical; Number non-missing=312; Number of unique values=6 Freq Value Description 40 1 Secular rituals (1-2) 18 2 Maturational history rituals (3-6) 83 3 Rituals with focus on the individual (7) 120 4 Announcement of social status (8-13) 22 5 Focused on group (14-17) 29 6 Relationship between people and forces of nature/supernatural (18-24) 27 NA NA dom2. The collapsed classes of rituals as outlined in sections a-f above for the second-most dominant ritual. Class=numeric; Type=categorical; Number non-missing=302; Number of unique values=6 Freq Value Description 21 1 Secular rituals (1-2) 5 2 Maturational history rituals (3-6) 90 3 Rituals with focus on the individual (7) 137 4 Announcement of social status (8-13) 36 5 Focused on group (14-17) 13 6 Relationship between people and forces of nature/supernatural (18-24) 37 NA NA deadav. The presence/absence of taboos against speaking the name of the deceased after death. Class=numeric; Type=ordinal; Number non-missing=299; Number of unique values=3 Freq Value Description 156 1 No taboo 60 2 Short duration taboo 83 3 Permanent taboo 40 NA NA death. Codes the response to death as regards housing and the use of the camp Class=numeric; Type=ordinal; Number non-missing=295; Number of unique values=3 Freq Value Description 143 1 Camp and house abandoned 57 2 House destroyed but camp maintained 95 3 Camp and house maintained 44 NA NA discomp. The disposal event sequence regarding only the treatment of the corpse. Class=numeric; Type=ordinal; Number non-missing=292; Number of unique values=4 Freq Value Description 222 1 Single step disposal 62 2 Two step disposal 7 3 Three step disposal 1 4 Four step disposal 47 NA NA discomp2. The number of major steps relating to the disposal of the corpse Class=numeric; Type=ordinal; Number non-missing=303; Number of unique values=2 Freq Value Description 231 1 Single step disposal 72 2 Multi step disposal 36 NA NA disloc. Codes the location of the final step in the disposal sequence. Class=numeric; Type=ordinal; Number non-missing=296; Number of unique values=3 Freq Value Description 168 1 Location unique to individual 43 2 Conventionally used "family" location 85 3 conventional area used by supra-family units 43 NA NA bodyt. The state of the skeletal remains on final disposal. Class=numeric; Type=ordinal; Number non-missing=311; Number of unique values=3 Freq Value Description 256 1 Complete body 28 2 Disarticulated skeleton 27 3 Dismembered body parts 28 NA NA dispc. This code has reference to the mode of disposal for all persons or persons in the prime of life only. There may be alternative modes of disposal for the very young, aged, or for special conditions of death. This has primary reference to the situation of the decay of the body or the use of soft parts Class=numeric; Type=categorical; Number non-missing=318; Number of unique values=6 Freq Value Description 162 1 Exposure of the body on the surface 43 2 Burial in the ground 50 3 Cremation of the body 6 4 Platform or tree disposal 14 5 Body decays or is destroyed in a constructed facility 43 6 Body is dismembered, eviscerated or artificially dried and flayed 21 NA NA disdiff. Differences in body disposal modes across persons Class=numeric; Type=categorical; Number non-missing=323; Number of unique values=4 Freq Value Description 99 1 Single disposal mode 129 2 Situation and cause of death 46 3 Maturational status 49 4 Social status 16 NA NA dritual. The sequential complexity of mortuary rituals regularly performed after a death. Class=numeric; Type=ordinal; Number non-missing=293; Number of unique values=3 Freq Value Description 53 1 No ritual 131 2 Single formal or ritualized socially organized event 109 3 Multiple ritual events which are socially organized 46 NA NA ritscal. The scale of non-immediate family involvement in the mortuary rituals. Class=numeric; Type=ordinal; Number non-missing=298; Number of unique values=4 Freq Value Description 30 1 Immediate family 147 2 Residential community 90 3 Local group and maybe non-local kin 31 4 Regional scale of attendance or components of a large community 41 NA NA ritfocus. The goals of the mortuary ritual or its ideological tone. Class=numeric; Type=categorical; Number non-missing=258; Number of unique values=3 Freq Value Description 165 1 Dead person 37 2 Purification of the living 56 3 Honoring the contributions of the living to the ritual event 81 NA NA caudeath. The emic beliefs regarding the causes of death insofar as they are related to aspects of mortuary behavior. Can be interpreted as ordinal measure of the degree to which death is considered emically "unnatural". Class=numeric; Type=categorical; Number non-missing=294; Number of unique values=4 Freq Value Description 93 1 Death is natural 75 2 Cause of death is not something to respond to 83 3 Unnatural for persons in the prime of life to die 43 4 Considered unnatural to die 45 NA NA divmor. Role and importance of divination in mortuary ritual. Class=numeric; Type=ordinal; Number non-missing=288; Number of unique values=3 Freq Value Description 228 1 Divination is not part of mortuary ritual 31 2 Divination may be performed but not "built in" 29 3 Divination is essential part 51 NA NA usebody. The use of body parts from the deceased during the mortuary rituals. Class=numeric; Type=categorical; Number non-missing=299; Number of unique values=5 Freq Value Description 233 1 No use of body parts 25 2 Small bones 11 3 Slaves or "contributed" persons may be killed 10 4 Corpse and/or parts thereof eaten 20 5 Removed and used in divination 40 NA NA gcont. The treatment of the durable goods which were brought for the use during the mortuary rituals. Contributed goods are not the goods of the deceased. Class=numeric; Type=categorical; Number non-missing=299; Number of unique values=3 Freq Value Description 230 1 None reported 27 2 All contributed goods destroyed 42 3 All contributed goods distributed to participants 40 NA NA gdist. The treatment of the majority of the durable items which could be considered as associated with or "owned" by the deceased. Class=numeric; Type=categorical; Number non-missing=293; Number of unique values=2 Freq Value Description 245 1 Abandoned and/or destroyed 48 2 Distributed 46 NA NA gfur. The placement of personalities with the corpse in its final resting place. Class=numeric; Type=categorical; Number non-missing=291; Number of unique values=3 Freq Value Description 22 1 No personalities 63 2 Single or minimal numbers of items 206 3 Both personalities and sometimes contributed goods 48 NA NA revres. The organization of revenge activity which is generally conducted during the mourning period of the mortuary rites. Class=numeric; Type=ordinal; Number non-missing=251; Number of unique values=3 Freq Value Description 196 1 No sorcery-related revenge activity 33 2 Revenge is discussed but generally non-violent resolution 22 3 Family, sodality or community organize revenge killing or controlled combat 88 NA NA agem. Average age of males at the time of their first marriage.; (Table: 8.07); (Binford 2001:281) Class=numeric; Type=ordinal; Number non-missing=179; Number of unique values=26 Freq Value 1 12 2 13 3 14 1 14.5 14 15 10 16 1 16.5 14 17 22 18 17 19 16 20 9 21 1 21.7 6 22 10 23 9 24 14 25 5 26 8 27 4 28 2 29 5 30 1 31 1 32 2 33 1 35 160 NA agef. Average age of females at the time of their first marriage.; (Table: 8.07); (Binford 2001:281) Class=numeric; Type=ordinal; Number non-missing=205; Number of unique values=26 Freq Value 1 5 1 7 1 8 6 9 5 10 1 10.5 9 11 12 12 2 12.5 32 13 2 13.5 35 14 2 14.5 41 15 1 15.5 22 16 1 16.5 1 16.7 12 17 2 17.5 8 18 2 19 3 20 1 21 1 22 1 25 134 NA agedif. The difference between mean age at first marriage of husbands and wives. ; (Binford 2001:299) Class=numeric; Type=ordinal; Number non-missing=177; Number of unique values=30 Stat Value nobs 177 mean 6.503 min -1.5 max 26 sd 5.051 polyg. Percentage of males married polygynously, with some additional values added to those found in table; (Table: 8.07); (Binford 2001:281) Class=numeric; Type=ordinal; Number non-missing=211; Number of unique values=52 Stat Value nobs 211 mean 13.872 min 0.1 max 57 sd 12.339 polygrecod. Percentage of males married polygynously (polyg) recoded by Doug White to distinguish monogamy from missing values; (Table: 8.07); (Binford 2001:281) Class=numeric; Type=ordinal; Number non-missing=221; Number of unique values=53 Stat Value nobs 221 mean 13.231 min 0 max 57 sd 12.41 wx.polygny. Percentage of males married polygynously, as-is from table; (Table: 8.07); (Binford 2001:281) Class=numeric; Type=ordinal; Number non-missing=191; Number of unique values=57 Stat Value nobs 191 mean 13.687 min 0 max 57 sd 13.03 agecom. The average difference between males and females at the time of initial marriage of each (i.e., this is not the age difference between the marriage partners). Class=numeric; Type=ordinal; Number non-missing=332; Number of unique values=4 Freq Value Description 205 1 < 5 years 78 2 5-10 years 40 3 10-15 years 9 4 >15 years 7 NA NA res1. This code has reference to the immediately post-marital residence of the married couple Class=numeric; Type=categorical; Number non-missing=334; Number of unique values=5 Freq Value Description 42 1 Ambilocal 123 2 Ambilocal, but with uxorilocal bias 27 3 Uxorilocal residence 88 4 Ambilocal, but with virilocal bias 54 5 Virilocal residence 5 NA NA fres1. The residential association of the married couple after birth of children when they are an established family. Class=numeric; Type=categorical; Number non-missing=310; Number of unique values=3 Freq Value Description 57 1 Ambilocal 47 2 Uxorilocal 206 3 Virilocal 29 NA NA fres2. The residential association of the married couple after the birth of their first child when they are established as a family. This complements the initial residence code. Class=numeric; Type=categorical; Number non-missing=310; Number of unique values=5 Freq Value Description 57 1 Ambilocal 5 2 Ambilocal, but with uxorilocal bias 65 3 Uxorilocal 42 4 Ambilocal, but with virilocal bias 141 5 Virilocal 29 NA NA levira. The presence or absence of the passing of wives of a deceased male to close male relatives of the deceased. Binary variable. Class=numeric; Type=ordinal; Number non-missing=275; Number of unique values=2 Freq Value Description 51 1 Absent 224 2 Present 64 NA NA sorora. The presence or absence of simultaneous sororal polygyny. Binary variable. Class=numeric; Type=ordinal; Number non-missing=262; Number of unique values=2 Freq Value Description 73 1 Absent 189 2 Present 77 NA NA kinmar. The form of the exogamic practices/ preferences. Class=numeric; Type=categorical; Number non-missing=330; Number of unique values=4 Freq Value Description 154 1 Nonlateral marriage 83 2 Second cousing or greater lateral marriage 38 3 Asymmetrical lateral marriage 55 4 Symmetrical lateral marriage 9 NA NA marsel. The manner in which marriages are negotiated and arranged within the society. Class=numeric; Type=categorical; Number non-missing=334; Number of unique values=4 Freq Value Description 65 1 Child betrothal 76 2 Courting is common 88 3 Parental support required or arranged marriages 105 4 Strictly arranged 5 NA NA marrycer. The scale of investment in marriage ceremonies both in terms of the scale of participation and the goods and labor involved. Class=numeric; Type=ordinal; Number non-missing=334; Number of unique values=4 Freq Value Description 192 1 No real ceremony 96 2 Minimal performance ceremony 33 3 Extended series of ritualized events 13 4 Broad public presence and participation in marriage ceremony 5 NA NA polygn. Codes on an ordinal scale an estimate of the percentage of males married multiple wives Class=numeric; Type=ordinal; Number non-missing=325; Number of unique values=7 Freq Value Description 14 1 Absent 127 2 Between 1-6% 67 3 Between 7-12% 45 4 Between 13-18% 49 5 Between 19-30% 12 6 Between 31-42% 11 7 Greater than 42% 14 NA NA mardir. This code scales the relative balance of the flow of goods and services in marriage arrangements. This code does not scale the absolute quantity of goods and services, only the relative imbalance in terms of the standards of the community itself. Class=numeric; Type=ordinal; Number non-missing=323; Number of unique values=4 Freq Value Description 161 1 Balanced exchange 38 2 Minor imbalance in favor of the bride's family 121 3 Moderate imbalance in favor of the bride's family 3 4 Major imbalance in favor of bride's family 16 NA NA marprop. The investments in property exchanges made by the kinsmen of the prospective bride and groom.? Class=numeric; Type=ordinal; Number non-missing=322; Number of unique values=4 Freq Value Description 173 1 No property of real goods investment 25 2 Minimal property or real goods investment 117 3 Moderate amount of goods and property 7 4 Large quantities of goods and property 17 NA NA marinv. The types of investment made in marriages. Class=numeric; Type=categorical; Number non-missing=322; Number of unique values=3 Freq Value Description 108 1 No labor or property 65 2 Labor 149 3 Property 17 NA NA divorce. Codes the difficulty of obtaining a sanctioned divorce within the society. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value Description 86 1 Not permitted or very difficult 72 2 Publically adjudicated 181 3 Easy to obtain kincon. The basic convention for identifying kin for an unmarried child. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value Description 317 1 Both from mother and father 22 2 Either from mother or father but not both kinstr. The basic structure as used of the kinship conventions. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=5 Freq Value Description 139 1 Ramifying structure 96 2 Balanced dimensional structure 79 3 Imbalanced dimensional structure 21 4 Truncated structure 4 5 Ambilateral structure kinbia1. Records the bias in the kinship structure as regards the side which is extended more or keyed upon cognitively for discussing exogamy Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 223 1 No bias 78 2 Patrifilial bias 38 3 Matrifilial bias augment. Codes the ways of augmenting the kinspersons of an individual that are not done through birth or marriage Class=numeric; Type=categorical; Number non-missing=285; Number of unique values=9 Freq Value Description 182 1 Absent 10 2 Sexual intercourse 17 3 Adoption 20 4 Name relationship 18 5 Cognitive elaboration of birth 10 6 Special friend partnership 3 7 Initiation cohort 10 8 Augmentation by 2 of above means 15 9 Augmentation by 3 or more of above means 54 NA NA augmen2. The number of strategies used to augment kinship [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=333; Number of unique values=3 Freq Value Description 206 1 no augmentation strategies 95 2 1-2 augmentation strategies 32 3 2 or more augmentation strategies 6 NA NA sodal. Sodalities: collapsed version of adjun [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=328; Number of unique values=6 Freq Value Description 203 1 Absent 17 2 Higher order sodalities 27 3 Moieties 49 4 Phratries 22 5 Achieved Associations 10 6 Ranked 11 NA NA kinder. Kinship derived units are classes of kinspersons that are identifiable as higher order classes which are consistent with the cognitive conventions of the kinship system Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 179 1 Absent 149 2 Kindreds or sibs 11 3 Clans or desent-sets kinbia2. Codes the bias in the (KINDER) variable as regards the filiation of persons in kindreds, sibs, clans, etc Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 178 1 Bias absent 123 2 Patrifilial bias 38 3 Matrifilial bias elabor. Codes for cognitive elaborations or more general classes which are derivable from the underlying system of kin cognition. Most of the time these elaborations serve no organizational function beyond providing rules of thumb for discussing exogamy and using these general categories for placing "strangers" into the web of kinship of the speaker. The coding of cases here implies no additional functions for these units beyond those discussed here. Class=numeric; Type=categorical; Number non-missing=322; Number of unique values=9 Freq Value Description 259 1 Absent 6 2 Unnamed two section system 17 3 Phratri-moieties 12 4 Matri-moieties 5 5 Patri-phratries 4 6 Matri-phratries 1 7 Patri-phratries and moieties 12 8 Four section system 6 11 Eight sections 17 NA NA elabor2. The situation where elaborations are given social functions beyond those listed above such that they imply more than marriage arrangements, etc. [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=321; Number of unique values=4 Freq Value Description 264 1 Absent 3 2 Land biased sibs-kindred like units 7 3 Exogamy only 47 4 Reciprocal ritual functions in mortuary rites 18 NA NA elabor3. Revised version of elabor2 [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=321; Number of unique values=4 Freq Value Description 259 1 Absent [=1] 41 2 Moieties [=3,4,8,9,10] 9 3 Phratries [=5,6,7] 12 4 Sections [= 2,11] 18 NA NA elabor4. Revised version of elabor3 [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=321; Number of unique values=3 Freq Value Description 259 1 Absent 43 2 One form 19 3 Multiple forms 18 NA NA diffocus. Codes the domain within which the elaborations and adjunct differentiations primarily function. Whether they contribute primarily to the internal complexity of the system or whether they provide the organizational basis for relating to and interacting in an expansive manner with adjacent groups is the focus of this code Class=numeric; Type=categorical; Number non-missing=323; Number of unique values=4 Freq Value Description 205 1 None 80 2 Present, primarily integrate and differentiate internal organization 23 3 Present, integrate and differentiate internal organization and articulation with outside groups 15 4 Present, play little role in internal organization but directly facilitate articulation with other groups 16 NA NA adjun. Codes the presence of organizational features which are discussed cognitively in kinship terms or refer to behaviors normally conventionalized by kinship but which are not derivable from the underlying properties of the kinship cognition itself Class=numeric; Type=categorical; Number non-missing=325; Number of unique values=11 Freq Value Description 250 1 Absent 27 2 Moieties 10 3 Affinal phratries 11 4 Secondary units 5 5 Moieties unrelated to exogamy 1 6 Both 3 and 5 3 7 Honor societies 8 8 Crests 1 9 Moieties like male and female exchange feasts 7 10 Social associations 2 11 Clans or sections 14 NA NA adjun2. Number of forms of adjunct kin [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=336; Number of unique values=4 Freq Value Description 256 1 Absent 33 2 Moieties 14 3 Phratries 33 4 Other 3 NA NA adjun3. Types of adjunct kin strategy [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=324; Number of unique values=3 Freq Value Description 249 1 Absent 74 2 One form 1 3 Multiple forms 15 NA NA adjun4. Collapse of adjun [in HGKIN printouts from 9/25/94 with LRB handwritten notes re recoding] Class=numeric; Type=categorical; Number non-missing=334; Number of unique values=6 Freq Value Description 255 1 Absent 29 2 Moieties 22 3 Phratries 10 4 Ascribed Kin Units 10 5 Units of none 8 6 Ranked 5 NA NA kinexo. Codes the limitation of kin extension characteristic of the society. The code scales the lateral extension of the exogamic practice in the group Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value Description 69 1 Marriages regularly with distant second cousins or persons related more distantly than third cousins 111 2 Marriages not permitted with second cousins, but with those more distant 95 3 Marriages forbidden with first cousins but second cousins may marry 64 4 Marriages forbidden with some first cousins but not other first cousins dkinex. The situation where there are marked differences in the exogamic practices of the leaders and/or elite and the general population in the patterns of exogamic extension or restriction. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value Description 267 1 Absence 12 2 Restricted dual scales of exogamy 60 3 Expanded dual scales of exogamy nenept. The kinship terminology for parallel nephews and nieces. Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value Description 75 1 Equated to offspring by sex 104 2 Equated in part to offspring 160 3 Not equated to offspring nenext. The kinship terminology for cross nephews and nieces when they are distinguished from parallel nephews and nieces. Class=numeric; Type=categorical; Number non-missing=338; Number of unique values=4 Freq Value Description 73 1 Cross nephew, cross niece 85 2 Cross nephew-niece 53 3 Male cross nephew-niece, female cross nephew-niece 127 4 Other 1 NA NA kinterm2. The type of terminology used for first cousins. Class=numeric; Type=categorical; Number non-missing=314; Number of unique values=4 Freq Value Description 30 1 Hawaiian cousin terms 123 2 Eskimo cousin terms 126 3 Iroquois cousin terms 35 4 Intergenerationally merging terminology 25 NA NA aunt. Kin terminology employed for aunts. Class=numeric; Type=categorical; Number non-missing=313; Number of unique values=4 Freq Value Description 59 1 Lineal terms 8 2 Generation terms 87 3 Bifurcate merging 159 4 Bifurcate collateral 26 NA NA gpaterm. Kin terms for grandparents. Class=numeric; Type=categorical; Number non-missing=252; Number of unique values=5 Freq Value Description 23 1 Separate terms for FaFa, FaMo, MoFa, MoMo 116 2 FaPa, MoFa, MoMo 6 3 Grandfather, FaMo, MoMo 102 4 FaPa, MoPa, or grandfather, grandmother 5 5 Grandparent 87 NA NA ggpater. Kin terms for great grandparents. Class=numeric; Type=categorical; Number non-missing=322; Number of unique values=4 Freq Value Description 143 1 Equated to grandparents 146 2 Denoted by 1 or 2 special terms 30 3 Uses sibling terms 3 4 Equated to parents 17 NA NA minlaw. The presence or absence of behavioral mother-in-law avoidance and other restrictions on behavior. Binary variable. Class=numeric; Type=ordinal; Number non-missing=332; Number of unique values=2 Freq Value Description 161 1 Absent 171 2 Present 7 NA NA male.mm. Male height in millimeters; (Table: 6.03); (Binford 2001:183) Class=numeric; Type=ordinal; Number non-missing=151; Number of unique values=96 Stat Value nobs 151 mean 1633.733 min 1440 max 1754 sd 63.819 female.mm. Female height in millimeters; (Table: 6.03); (Binford 2001:183) Class=numeric; Type=ordinal; Number non-missing=113; Number of unique values=79 Stat Value nobs 113 mean 1525.145 min 1363 max 1640 sd 55.095 male.kg. Male weight in kilograms; (Table: 6.03); (Binford 2001:183) Class=numeric; Type=ordinal; Number non-missing=40; Number of unique values=33 Stat Value nobs 40 mean 56.28 min 39.8 max 71 sd 8.837 female.kg. Female weight in kilograms; (Table: 6.03); (Binford 2001:183) Class=numeric; Type=ordinal; Number non-missing=20; Number of unique values=16 Freq Value 2 34 1 37.5 3 37.9 1 39.5 1 40.6 1 42.5 1 43.5 2 45.4 1 46.1 1 47.3 1 47.55 1 55.8 1 56.5 1 61.22 1 63 1 64.3 319 NA termhnt. Proportion of food in a-cultural terrestrial model from hunting Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=330 Stat Value nobs 339 mean 0.554 min 0.086 max 1 sd 0.259 termgath. Proportion of food in a-cultural terrestrial model from gathering Class=numeric; Type=ordinal; Number non-missing=329; Number of unique values=329 Stat Value nobs 329 mean 0.459 min 0.029 max 0.914 sd 0.251 termh2. Terrestrial model hunting density: Number of persons per 100 sqkm who could be supported from ungulate resources alone; (Equation: 6.13); (Binford 2001:187) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 0.799 min 0.008 max 10.906 sd 1.188 termg2. Terrestrial model gathering density: Number of persons per 100 sqkm who could be supported from terrestrial plant foods alone; (Equation: 6.14); (Binford 2001:187) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 1.05 min 0 max 6.112 sd 1.545 termd2. Terrestrial model population density: Population density (adjusted for body size) expected at a particular location, based on terrestrial model (persons per 100 sqkm); (Equation: 6.15); (Binford 2001:187) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 1.849 min 0.008 max 14.854 sd 2.462 subspx. Dominant food source predicted by Binford's Terrestrial Model; (Binford 2001:203) Class=character; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value Description 120 g terrestrial animals 134 h terrestrial plants 16 m mixed sources 69 u undetermined nicheffg. Ratio of niche effectiveness (measured density compared to terrestrial model density) in exploitation of terrestrial plant resources; (Equation: 10.02); (Binford 2001:373) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=290 Stat Value nobs 339 mean 46.069 min 0 max 3876.18 sd 243.413 nicheffh. Ratio of niche effectiveness (measured density compared to terrestrial model density) in exploitation of terrestrial animal resources; (Equation: 10.03); (Binford 2001:373) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=311 Stat Value nobs 339 mean 16.616 min 0 max 548.65 sd 37.558 nicheff. Ratio of niche effectiveness (measured density compared to terrestrial model density); (Equation: 10.01); (Binford 2001:373) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 39.174 min 0.144 max 459.524 sd 69.356 prindx. Ratio of population density to TERMD2, the terrestrial model population density - a very simple measure of pressure on terrestrial resources = how many times more densely populated than a cultural terrestrial carrying capacity are observed HGs (Equation: density/termd2) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=229 Stat Value nobs 339 mean 38.385 min 0.1 max 459.5 sd 67.281 cvtemp. Coefficient of variation of monthly temperature array. { Binford 2001: 71 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=337 Stat Value nobs 339 mean -3.491 min -5300.14 max 2333.804 sd 440.224 elev. Elevation at group?s central point. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=261 Stat Value nobs 339 mean 1329.423 min 10.5 max 8125 sd 1550.838 lbar5. Log10 value of BAR5 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 1.107 min -0.255 max 1.858 sd 0.381 lcoklm. Log10 of COKLM { Binford 2001: 154 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=170 Stat Value nobs 339 mean 2.103 min 0.004 max 3.232 sd 0.749 lcvtemp. Log10 value of CVTEMP Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=337 Stat Value nobs 339 mean 3.465 min 0 max 3.727 sd 0.199 lptoae. Log10 value of PTOAE Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=314 Stat Value nobs 339 mean 0.268 min 0.004 max 1.205 sd 0.226 lptorun. Log10 value of PTORUN Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 0.831 min -0.665 max 3.264 sd 0.904 lsnowac. Log10 value of SNOWAC Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=141 Stat Value nobs 339 mean -0.462 min -2 max 2.917 sd 1.866 lwaccess. Log10 value of WACCESS Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=59 Stat Value nobs 339 mean -0.449 min -2 max 0.012 sd 0.411 rungrc. Number of months in the growing season in which runoff is greater than zero. { Binford 2001: 79 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 74 0 40 1 52 2 15 3 35 4 37 5 28 6 16 7 5 8 9 9 7 10 6 11 15 12 wret. Water retention: if CRR is greater than PET then the excess water may have been added to the water already stored in the soil. { Binford 2001: 75 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=310 Stat Value nobs 339 mean 60.927 min 0 max 373.93 sd 62.239 ptorun. PTORUN = PET/(RUNOFF+1). Ratio of potential evapotranspiration to runoff. Predictor of all true forest plant associations. { Binford 2001: 79 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 114.376 min 0.206 max 1834.806 sd 329.566 ldefper. Log10 value of DEFPER Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=35 Stat Value nobs 339 mean 1.357 min -2 max 2 sd 1.18 lgather. Log10 value of GATHERIN Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=39 Stat Value nobs 339 mean 1.213 min -2 max 1.956 sd 0.87 trange. Range of temperatures TRANGE = (MWM-MCM) { Binford 2001: 59 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=313 Stat Value nobs 339 mean 18.733 min 0.81 max 48.98 sd 11.219 watrgrc. Number of months in the growing season in which water is retained in the soil. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 51 0 60 1 55 2 24 3 29 4 31 5 24 6 18 7 10 8 4 9 7 10 5 11 21 12 lmeanelev. Log10 value of MEANELEV Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=318 Stat Value nobs 339 mean 2.975 min 1.595 max 3.911 sd 0.446 lwatrgrc. Log10 value of WATRGRC Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 51 -2 60 0.004321374 55 0.303196057 24 0.478566496 29 0.603144373 31 0.699837726 24 0.778874472 18 0.845718018 10 0.903632516 4 0.954724791 7 1.000434077 5 1.041787319 21 1.079543007 pgrow. Weighted measure of the simultaneous presence of both water and solar radiation available to the plant community. Scales from 0-36; 0 indicates no chance for plant growth; 36 indicates good growing conditions year round. { Binford 2001: 85 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=34 Stat Value nobs 339 mean 19.106 min 0 max 36 sd 8.388 lrunoff. Log10 value of RUNOFF Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=303 Stat Value nobs 339 mean 1.822 min -2 max 3.464 sd 1.457 lsstab2. Log10 value of SUCSTAB2 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 0.201 min -1.877 max 1.896 sd 1.277 waccess. Calculates plant access to water during the growing season. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=59 Stat Value nobs 339 mean 0.461 min 0 max 1.019 sd 0.283 lfishing. Log10 value of FISHING Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=55 Stat Value nobs 339 mean 0.921 min -2 max 1.978 sd 1.281 Binford 2001: 144-154 hg142. Sample of hunter-gatherer cases selected by vegetation type proportional to Earth's area in each vegetation type Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 197 0 142 1 setn11. Marker for subset of hunter-gatherer cases for which SUBPOP = N, GRPPAT = 1, and SUBSP=1 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 269 0 70 1 setn12. Marker for subset of hunter-gatherer cases for which SUBPOP = N, GRPPAT = 1, and SUBSP=2 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 258 0 81 1 setn13. Marker for subset of hunter-gatherer cases for which SUBPOP = N, GRPPAT = 1, and SUBSP=3 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 296 0 43 1 setn21. Marker for subset of hunter-gatherer cases for which SUBPOP = N, GRPPAT = 2, and SUBSP=1 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 335 0 4 1 setn22. Marker for subset of hunter-gatherer cases for which SUBPOP = N, GRPPAT = 2, and SUBSP=2 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 321 0 18 1 setn23. Marker for subset of hunter-gatherer cases for which SUBPOP = N, GRPPAT = 2, and SUBSP=3 Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 271 0 68 1 ============================================================ SOURCE: Fincher, C. L., & Thornhill, R. (2008). Assortative sociality, limited dispersal, infectious disease and the genesis of the global pattern of religion diversity. Proceedings of the Royal Society B: Biological Sciences, 275(1651), 2587-2594. doi:10.1098/rspb.2008.0688 ----------------------------------------------------------- pathogen. Pathogen prevalence (Fincher and Thornhill 2008) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=13 Freq Value 1 4 5 5 25 6 17 7 34 8 48 9 72 10 30 11 23 12 26 13 34 14 12 15 12 16 ============================================================ SOURCE: Hamilton, M. J., Milne, B. T., Walker, R. S., Burger, O., & Brown, J. H. (2007). The complex structure of hunter-gatherer social networks. Proceedings of the Royal Society B: Biological Sciences, 274(1622), 2195-2203. doi:10.1098/rspb.2007.0564 ----------------------------------------------------------- numfam. Number of families in society (Equation: tlpop/famsz) (Hamilton et al. 2007) Class=numeric; Type=ordinal; Number non-missing=128; Number of unique values=126 Stat Value nobs 128 mean 277.27 min 7.5 max 3153.2 sd 401.6 numg1. Number of group1 units in society (Equation: tlpop/group1) (Hamilton et al. 2007) Class=numeric; Type=ordinal; Number non-missing=227; Number of unique values=196 Stat Value nobs 227 mean 82.964 min 2.4 max 1250 sd 129.502 numg2. Number of group2 units in society (Equation: tlpop/group2) (Hamilton et al. 2007) Class=numeric; Type=ordinal; Number non-missing=297; Number of unique values=217 Stat Value nobs 297 mean 27.589 min 1 max 371.3 sd 36.91 numg3. Number of group3 units in society (Equation: tlpop/group3) (Hamilton et al. 2007) Class=numeric; Type=ordinal; Number non-missing=216; Number of unique values=117 Stat Value nobs 216 mean 8.102 min 0.1 max 107.1 sd 11.25 branchrat. Horton-Strahler branching ratio, produced as slope in regression (Hamilton et al. 2007:2197) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=208 Stat Value nobs 339 mean 3.868 min 1.93 max 6.85 sd 0.896 ============================================================ E. Anthon Eff's supplementary data ============================================================ ============================================================ SOURCE: data from http://www.ethnologue.com/, assigned by E. Anthon Eff ----------------------------------------------------------- reg. Classification into Old World or New World. Used for calculation of linguistic proximity matrix. Class=character; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value Description 235 newWorld newWorld 104 oldWorld oldWorld iso639.3. ISO 639-3 language code, used on Ethnologue (http://www.ethnologue.com/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=250 First six non-missing records: society iso639.3 Punan pna Batek btq Kubu kvb Shompen sii Onge oon Jarwa akj lang. Language name, from Ethnologue (http://www.ethnologue.com/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=251 First six non-missing records: society lang Punan Penan Bahbiau Batek Batek Kubu Kubu Shompen Shom Peng Onge Onge Jarwa Akajeru phyl. Language phylogenetic classification, from Ethnologue (http://www.ethnologue.com/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=179 First six non-missing records: society phyl Punan Austronesian, Malayo-Polynesian, North Borneo, Rejang-Sajau Batek Austro-asiatic, Mon-khmer, Aslian, North Aslian, Eastern Kubu Austronesian, Malayo-polynesian, Malayic, Malayan, Local Malay Shompen Austro-asiatic, Mon-khmer, Nicobar, Shom Peng Onge Andamanese, South Andamanese Jarwa Andamanese, Great Andamanese, Northern ============================================================ SOURCE: Hijmans, R.J., et al. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25(15):1965-1978. data at http://www.worldclim.org/bioclim.htm (assigned by E. Anthon Eff) ----------------------------------------------------------- alt. BIOCLIM: Altitude (m) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=285 Stat Value nobs 339 mean 615.676 min -1 max 2501 sd 583.5 alt.sd. BIOCLIM: Altitude (m) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 166.603 min 2.253 max 771.817 sd 156.36 alt.flag. BIOCLIM: Altitude (m) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 meanalt. BIOCLIM: Mean altitude within 20 km radius (m) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 624.775 min 1.044 max 2475.283 sd 573.785 sdalt. BIOCLIM: Standard deviation of altitude within 20 km radius (m) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 127.894 min 0.989 max 811.211 sd 132.003 bio.1. BIOCLIM: Annual Mean Temperature (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=218 Stat Value nobs 339 mean 113.805 min -164 max 294 sd 110.651 bio.1.sd. BIOCLIM: Annual Mean Temperature (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 8.756 min 0.368 max 48.251 sd 8.746 bio.1.flag. BIOCLIM: Annual Mean Temperature (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.2. BIOCLIM: Mean Diurnal Range (Mean of monthly (max temp - min temp)) (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=118 Stat Value nobs 339 mean 120.829 min 43 max 183 sd 33.817 bio.2.sd. BIOCLIM: Mean Diurnal Range (Mean of monthly (max temp - min temp)) (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 3.382 min 0.103 max 24.428 sd 3.547 bio.2.flag. BIOCLIM: Mean Diurnal Range (Mean of monthly (max temp - min temp)) (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.3. BIOCLIM: Isothermality (bio_2/bio_7) (* 100) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=68 Stat Value nobs 339 mean 43.647 min 14 max 91 sd 16.055 bio.3.sd. BIOCLIM: Isothermality (bio_2/bio_7) (* 100) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=326 Stat Value nobs 339 mean 0.645 min 0 max 2.814 sd 0.451 bio.3.flag. BIOCLIM: Isothermality (bio_2/bio_7) (* 100) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.4. BIOCLIM: Temperature Seasonality (standard deviation *100) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=332 Stat Value nobs 339 mean 6505.632 min 225 max 19190 sd 4025.653 bio.4.sd. BIOCLIM: Temperature Seasonality (standard deviation *100) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 151.454 min 12.7 max 898.688 sd 155.679 bio.4.flag. BIOCLIM: Temperature Seasonality (standard deviation *100) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.5. BIOCLIM: Max Temperature of Warmest Month (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=190 Stat Value nobs 339 mean 274.745 min 61 max 445 sd 76.641 bio.5.sd. BIOCLIM: Max Temperature of Warmest Month (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 10.832 min 0.421 max 67.554 sd 11.234 bio.5.flag. BIOCLIM: Max Temperature of Warmest Month (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.6. BIOCLIM: Min Temperature of Coldest Month (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=250 Stat Value nobs 339 mean -33.08 min -413 max 240 sd 155.373 bio.6.sd. BIOCLIM: Min Temperature of Coldest Month (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 7.451 min 0.498 max 32.906 sd 6.412 bio.6.flag. BIOCLIM: Min Temperature of Coldest Month (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.7. BIOCLIM: Temperature Annual Range (bio_5-bio_6) (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=235 Stat Value nobs 339 mean 308.35 min 75 max 622 sd 119.418 bio.7.sd. BIOCLIM: Temperature Annual Range (bio_5-bio_6) (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 7.121 min 0.549 max 51.106 sd 7.793 bio.7.flag. BIOCLIM: Temperature Annual Range (bio_5-bio_6) (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.8. BIOCLIM: Mean Temperature of Wettest Quarter (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=210 Stat Value nobs 339 mean 136.555 min -93 max 314 sd 101.133 bio.8.sd. BIOCLIM: Mean Temperature of Wettest Quarter (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 10.962 min 0.463 max 75.623 sd 12.986 bio.8.flag. BIOCLIM: Mean Temperature of Wettest Quarter (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.9. BIOCLIM: Mean Temperature of Driest Quarter (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=220 Stat Value nobs 339 mean 102.676 min -338 max 289 sd 151.179 bio.9.sd. BIOCLIM: Mean Temperature of Driest Quarter (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 12.976 min 0.531 max 100.815 sd 15.221 bio.9.flag. BIOCLIM: Mean Temperature of Driest Quarter (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.10. BIOCLIM: Mean Temperature of Warmest Quarter (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=198 Stat Value nobs 339 mean 195.746 min 13 max 345 sd 71.911 bio.10.sd. BIOCLIM: Mean Temperature of Warmest Quarter (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 9.501 min 0.54 max 57.168 sd 9.89 bio.10.flag. BIOCLIM: Mean Temperature of Warmest Quarter (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.11. BIOCLIM: Mean Temperature of Coldest Quarter (dgC*10) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=252 Stat Value nobs 339 mean 30.885 min -361 max 271 sd 154.691 bio.11.sd. BIOCLIM: Mean Temperature of Coldest Quarter (dgC*10) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 7.627 min 0.454 max 35.59 sd 6.978 bio.11.flag. BIOCLIM: Mean Temperature of Coldest Quarter (dgC*10) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.12. BIOCLIM: Annual Precipitation (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=298 Stat Value nobs 339 mean 918.347 min 62 max 4144 sd 799.122 bio.12.sd. BIOCLIM: Annual Precipitation (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 69.402 min 1.276 max 558.548 sd 93.505 bio.12.flag. BIOCLIM: Annual Precipitation (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.13. BIOCLIM: Precipitation of Wettest Month (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=199 Stat Value nobs 339 mean 155.416 min 11 max 758 sd 139.026 bio.13.sd. BIOCLIM: Precipitation of Wettest Month (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 11.811 min 0.257 max 144.889 sd 17.882 bio.13.flag. BIOCLIM: Precipitation of Wettest Month (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.14. BIOCLIM: Precipitation of Driest Month (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=77 Stat Value nobs 339 mean 21.64 min 0 max 254 sd 30.385 bio.14.sd. BIOCLIM: Precipitation of Driest Month (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=314 Stat Value nobs 339 mean 1.979 min 0 max 23.814 sd 3.056 bio.14.flag. BIOCLIM: Precipitation of Driest Month (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.15. BIOCLIM: Precipitation Seasonality (Coefficient of Variation) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=101 Stat Value nobs 339 mean 57.476 min 12 max 125 sd 26.995 bio.15.sd. BIOCLIM: Precipitation Seasonality (Coefficient of Variation) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 1.95 min 0 max 11.124 sd 1.665 bio.15.flag. BIOCLIM: Precipitation Seasonality (Coefficient of Variation) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.16. BIOCLIM: Precipitation of Wettest Quarter (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=283 Stat Value nobs 339 mean 420.624 min 28 max 1899 sd 374.925 bio.16.sd. BIOCLIM: Precipitation of Wettest Quarter (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 31.295 min 0.501 max 342.77 sd 45.153 bio.16.flag. BIOCLIM: Precipitation of Wettest Quarter (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.17. BIOCLIM: Precipitation of Driest Quarter (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=157 Stat Value nobs 339 mean 80.348 min 0 max 865 sd 103.617 bio.17.sd. BIOCLIM: Precipitation of Driest Quarter (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=332 Stat Value nobs 339 mean 7.09 min 0 max 86.195 sd 10.817 bio.17.flag. BIOCLIM: Precipitation of Driest Quarter (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.18. BIOCLIM: Precipitation of Warmest Quarter (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=238 Stat Value nobs 339 mean 213.26 min 4 max 1370 sd 212.458 bio.18.sd. BIOCLIM: Precipitation of Warmest Quarter (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=338 Stat Value nobs 339 mean 16.336 min 0.658 max 212.01 sd 28.824 bio.18.flag. BIOCLIM: Precipitation of Warmest Quarter (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 bio.19. BIOCLIM: Precipitation of Coldest Quarter (mm) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=228 Stat Value nobs 339 mean 234.732 min 0 max 1899 sd 301.46 bio.19.sd. BIOCLIM: Precipitation of Coldest Quarter (mm) { standard deviation within 20km radius } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=335 Stat Value nobs 339 mean 25.065 min 0 max 221.723 sd 37.917 bio.19.flag. BIOCLIM: Precipitation of Coldest Quarter (mm) { flag for data quality, higher values poorer accuracy } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 ============================================================ SOURCE: Imhoff, M. L., & Bounoua, L. (2006). Exploring Global Patterns of Net Primary Production Carbon Supply and Demand Using Satellite Observations and Statistical Data. Journal of Geophysical Research, 111(D22S12). Retrieved from http://dx.doi.org/10.1029/2006JD007377 Data: Imhoff, M. L., Bounoua, L., Ricketts, T., Loucks, C., Harriss, R., & Lawrence, W. T. (2004, 20141127). HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity. Retrieved from http://dx.doi.org/10.7927/H4W66HPJ ----------------------------------------------------------- mnnpp. Mean Net Primary Production within 50 km radius. (scaled) (Imhoff et al. 2004) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=337 Stat Value nobs 339 mean -0.372 min -1.329 max 2.247 sd 0.848 ============================================================ SOURCE: rectified by E. Anthon Eff ----------------------------------------------------------- long. Longitude (decimal degrees)--rectified Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=322 Stat Value nobs 339 mean -45.081 min -170.31 max 170.08 sd 106.062 lati. Latitude (decimal degrees)--rectified Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=323 Stat Value nobs 339 mean 26.228 min -55.427 max 77.49 sd 32.29 ============================================================ SOURCE: Olson, D. M, et al. 2001. Terrestrial ecoregions of the world: a new map of life on earth. BioScience 51:933-938 (assigned by E. Anthon Eff) ----------------------------------------------------------- ecoregion. WWF ecoregion. (Olson et al. 2001) Class=character; Type=categorical; Number non-missing=339; Number of unique values=141 First six non-missing records: society ecoregion Punan Central Borneo montane forests Batek Palawan moist deciduous forest Kubu Central and Southern Sumatra moist forests Shompen North Sumatra - Nicobar Islands moist forests Onge Andaman Islands moist forests Jarwa Andaman Islands moist forests mht.name. WWF major habitat type. (Olson et al. 2001) Class=character; Type=categorical; Number non-missing=339; Number of unique values=14 Freq Value Description 31 Boreal forest/taigas Boreal forest/taigas 69 Deserts and xeric shrublands Deserts and xeric shrublands 1 Flooded grasslands Flooded grasslands 20 Mediterranean scrub Mediterranean scrub 1 Montane grasslands Montane grasslands 1 Snow, ice, glaciers, and rock Snow, ice, glaciers, and rock 14 Temperate broadleaf and mixed forests Temperate broadleaf and mixed forests 70 Temperate coniferous forests Temperate coniferous forests 30 Temperate grasslands, savannas, and shrublands Temperate grasslands, savannas, and shrublands 11 Tropical and subtropical dry broadleaf forests Tropical and subtropical dry broadleaf forests 34 Tropical and subtropical grasslands, savannas, and shrublands Tropical and subtropical grasslands, savannas, and shrublands 30 Tropical and subtropical moist broadleaf forests Tropical and subtropical moist broadleaf forests 26 Tundra Tundra 1 Water Water ============================================================ SOURCE: Kottek, M., et al. 2006. World Map of the Koeppen-Geiger climate classification updated. Meteorol. Z., 15, 259-263. DOI: 10.1127/0941-2948/2006/0130. (assigned by E. Anthon Eff) ----------------------------------------------------------- koeppengei. Koeppen-Geiger climate classification code. (Kottek et al. 2006) Class=character; Type=categorical; Number non-missing=339; Number of unique values=21 Freq Value Description 8 Af Equatorial: fully humid 13 Am Equatorial: monsoonal 37 Aw Equatorial: winter dry 18 BSh Arid: steppe; hot 33 BSk Arid: steppe; cold 20 BWh Arid: desert; hot 9 BWk Arid: desert; cold 13 Cfa Warm Temperate: fully humid; hot summer 16 Cfb Warm Temperate: fully humid; warm summer 3 Cfc Warm Temperate: fully humid; cool summer 9 Csa Warm Temperate: summer dry; hot summer 59 Csb Warm Temperate: summer dry; warm summer 1 Cwa Warm Temperate: winter dry; hot summer 1 Cwb Warm Temperate: winter dry; warm summer 2 Dfa Snow: fully humid; hot summer 20 Dfb Snow: fully humid; warm summer 45 Dfc Snow: fully humid; cool summer 2 Dsb Snow: summer dry; warm summer 1 Dsc Snow: summer dry; cool summer 1 Dwc Snow: winter dry; cool summer 28 ET Polar: tundra koepdesc. Koeppen-Geiger code description. (Kottek et al. 2006) Class=character; Type=categorical; Number non-missing=339; Number of unique values=21 Freq Value Description 9 Arid: desert; cold Arid: desert; cold 20 Arid: desert; hot Arid: desert; hot 33 Arid: steppe; cold Arid: steppe; cold 18 Arid: steppe; hot Arid: steppe; hot 8 Equatorial: fully humid Equatorial: fully humid 13 Equatorial: monsoonal Equatorial: monsoonal 37 Equatorial: winter dry Equatorial: winter dry 28 Polar: tundra Polar: tundra 45 Snow: fully humid; cool summer Snow: fully humid; cool summer 2 Snow: fully humid; hot summer Snow: fully humid; hot summer 20 Snow: fully humid; warm summer Snow: fully humid; warm summer 1 Snow: summer dry; cool summer Snow: summer dry; cool summer 2 Snow: summer dry; warm summer Snow: summer dry; warm summer 1 Snow: winter dry; cool summer Snow: winter dry; cool summer 3 Warm Temperate: fully humid; cool summer Warm Temperate: fully humid; cool summer 13 Warm Temperate: fully humid; hot summer Warm Temperate: fully humid; hot summer 16 Warm Temperate: fully humid; warm summer Warm Temperate: fully humid; warm summer 9 Warm Temperate: summer dry; hot summer Warm Temperate: summer dry; hot summer 59 Warm Temperate: summer dry; warm summer Warm Temperate: summer dry; warm summer 1 Warm Temperate: winter dry; hot summer Warm Temperate: winter dry; hot summer 1 Warm Temperate: winter dry; warm summer Warm Temperate: winter dry; warm summer ============================================================ SOURCE: data from http://www.gadm.org/ (assigned by E. Anthon Eff) ----------------------------------------------------------- iso. ISO 3166-1 alpha-3 country codes (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=33 First six non-missing records: society iso Punan MYS Batek PHL Kubu IDN Shompen IND Onge IND Jarwa IND name.0. Name of Country (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=33 First six non-missing records: society name.0 Punan Malaysia Batek Philippines Kubu Indonesia Shompen India Onge India Jarwa India name.1. Name of first subnational administrative level (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=99 First six non-missing records: society name.1 Punan Sarawak Batek Palawan Kubu Sumatera Selatan Shompen Andaman and Nicobar Onge Andaman and Nicobar Jarwa Andaman and Nicobar hasc.1. Hierarchical administrative subdivision code--level 1 (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=336; Number of unique values=96 First six non-missing records: society hasc.1 Punan MY.SK Batek PH.PL Kubu ID.SL Shompen IN.AN Onge IN.AN Jarwa IN.AN name.2. Name of second subnational administrative level (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=339; Number of unique values=251 First six non-missing records: society name.2 Punan Belaga Batek Puerto Princesa City Kubu Musi Rawas Shompen Nicobar Islands Onge Andaman Islands Jarwa Andaman Islands hasc.2. Hierarchical administrative subdivision code--level 2 (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=298; Number of unique values=222 First six non-missing records: society hasc.2 Punan MY.SK.BL Batek PH.PL.PE Kubu ID.SL.MR Shompen IN.AN.NI Onge IN.AN.AN Jarwa IN.AN.AN name.3. Name of third subnational administrative level (GADM-2 data from http://www.gadm.org/) Class=character; Type=categorical; Number non-missing=97; Number of unique values=78 First six non-missing records: society name.3 Batek Langogan Shompen n.a. ( 2304) Onge n.a. ( 2178) Jarwa n.a. ( 2178) Ayta-Pinatubo Maamot North Island n.a. ( 2178) ============================================================ SOURCE: assignment by E. Anthon Eff ----------------------------------------------------------- continent. Continent Class=character; Type=categorical; Number non-missing=339; Number of unique values=5 Freq Value Description 20 Africa Africa 28 Asia Asia 56 Australia Australia 215 North America North America 20 South America South America region. Major sub-continental geographic region Class=character; Type=categorical; Number non-missing=339; Number of unique values=11 Freq Value Description 5 Asiatic Russia Asiatic Russia 56 Australia/New Zealand Australia/New Zealand 6 Central America Central America 4 Eastern Africa Eastern Africa 2 Eastern Asia Eastern Asia 7 Middle Africa Middle Africa 209 Northern America Northern America 20 South America South America 9 Southeastern Asia Southeastern Asia 9 Southern Africa Southern Africa 12 Southern Asia Southern Asia ============================================================ SOURCE: FAO/IIASA/ISRIC/ISS-CAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria. ----------------------------------------------------------- flag1. Data quality flag 1 { Dummy==1 where imputed values used for: "noaddprop", "gelic", "petric", "vertic" } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value 338 0 1 1 noaddprop. No additional soil properties (not gelic, petric, or vertic) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=15 Freq Value 7 0 3 10 5 20 4 30 1 34 2 50 1 67 2 70 1 72 1 75 8 80 1 85 14 90 1 96 288 100 gelic. Gelic properties refer to soils having permafrost within 200 cm from the soil surface. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=9 Freq Value 315 0 1 4 3 20 1 33 1 66 3 70 5 80 3 90 7 100 petric. Petric properties refer to strongly cemented or indurated layer starting within 100 cm from the soil surface. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 335 0 1 10 1 25 2 30 vertic. Vertic properties refer to cracks of more than 1 cm wide occurring in the upper part of the soil. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=7 Freq Value 316 0 13 10 1 15 5 20 1 28 2 50 1 70 flag2. Data quality flag 2 { Dummy==1 where imputed values used for: "clayheavy", "claylight", "clayloam", "loam", "loamysand", "sand", "sandyclay", "sandyclayloam", "sandyloam", "siltloam", "siltyclay", "siltyclayloam" } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=2 Freq Value 325 0 14 1 clayheavy. Percent of soil in soil texture category 1, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=6 Freq Value 328 0 4 10 4 20 1 40 1 50 1 70 siltyclay. Percent of soil in soil texture category 2, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 336 0 1 15 1 35 1 50 claylight. Percent of soil in soil texture category 3, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=16 Freq Value 257 0 1 6 18 10 5 15 25 20 1 25 1 28 9 30 2 33 3 35 1 40 4 50 2 60 4 70 3 80 3 100 siltyclayloam. Percent of soil in soil texture category 4, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value 335 0 3 30 1 50 clayloam. Percent of soil in soil texture category 5, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=6 Freq Value 331 0 2 20 2 30 1 40 1 52 2 100 siltloam. Percent of soil in soil texture category 7, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=12 Freq Value 315 0 2 10 5 20 6 30 1 33 1 40 1 60 1 66 2 70 1 80 1 90 3 100 sandyclay. Percent of soil in soil texture category 8, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 338 0 1 80 loam. Percent of soil in soil texture category 9, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=20 Freq Value 68 0 1 6 2 10 11 20 38 30 2 33 1 34 1 35 19 40 23 50 19 60 6 65 3 66 3 67 18 70 1 75 19 80 6 85 11 90 87 100 sandyclayloam. Percent of soil in soil texture category 10, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=15 Freq Value 288 0 2 10 3 15 12 20 2 25 1 29 3 30 4 35 3 40 1 48 1 50 5 60 1 62 1 65 12 70 sandyloam. Percent of soil in soil texture category 11, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=19 Freq Value 249 0 3 10 10 15 1 17 12 20 2 25 5 30 1 32 5 34 7 35 2 40 1 42 1 45 14 50 14 60 1 61 5 70 1 94 5 100 loamysand. Percent of soil in soil texture category 12, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=15 Freq Value 277 0 5 10 5 15 21 20 2 25 4 30 2 33 5 35 2 40 4 50 1 60 6 70 1 80 1 90 3 100 sand. Percent of soil in soil texture category 13, where 1 is finest soil and 13 is the coarsest. Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=14 Freq Value 309 0 1 10 6 20 1 25 2 30 1 33 1 35 1 40 7 50 2 60 3 70 1 85 2 90 2 100 flag3. Data quality flag 3 { Dummy==1 where imputed values used for: "issoil", "t_texture", "drainage", "awc_class", "t_gravel", "t_sand", "t_silt", "t_clay", "t_usda_tex_class", "t_ref_bulk_density", "t_bulk_density", "t_oc", "t_ph_h2o", "t_cec_clay", "t_cec_soil", "t_bs", "t_teb", "t_caco3", "t_caso4", "t_esp", "t_ece", "s_gravel", "s_sand", "s_silt", "s_clay", "s_usda_tex_class", "s_ref_bulk_density", "s_bulk_density", "s_oc", "s_ph_h2o", "s_cec_clay", "s_cec_soil", "s_bs", "s_teb", "s_caco3", "s_caso4", "s_esp", "s_ece","su_symbol", "su_value" } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=1 Freq Value 339 0 issoil. Proportion of sampled area that is soil Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 14 0 325 1 t_texture. Texture of topsoil (higher values coarser texture) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=37 Stat Value nobs 339 mean 1.816 min 0 max 3 sd 0.526 drainage. Drainage of soil (higher values better drainage) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=53 Stat Value nobs 339 mean 3.689 min 0 max 6 sd 1.09 awc_class. Available Water storage Capacity (higher values less water storage capacity) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=43 Stat Value nobs 339 mean 2.141 min 0 max 6 sd 1.274 t_gravel. Percent of topsoil consisting of gravel Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=23 Freq Value 28 0 10 1 4 2 8 3 23 4 26 5 27 6 45 7 22 8 24 9 23 10 15 11 11 12 23 13 9 14 10 15 13 16 9 17 1 18 3 19 3 20 1 22 1 36 t_sand. Percent of topsoil consisting of sand Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=61 Stat Value nobs 339 mean 42.378 min 0 max 94 sd 15.891 t_silt. Percent of topsoil consisting of silt Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=44 Stat Value nobs 339 mean 26.605 min 0 max 61 sd 10.685 t_clay. Percent of topsoil consisting of clay Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=43 Stat Value nobs 339 mean 18.687 min 0 max 64 sd 9.258 t_usda_tex_class. Measure of topsoil texture (higher values coarser texture) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=79 Stat Value nobs 339 mean 8.628 min 0 max 13 sd 2.473 t_ref_bulk_density. Bulk density = topsoil mass/topsoil volume. Calculations based on texture only. { Bulk density is inversely related to porosity. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=151 Stat Value nobs 339 mean 1.38 min 0 max 1.819 sd 0.303 t_bulk_density. Bulk density = topsoil mass/topsoil volume. Calculations based on texture, organic matter content, and porosity. { Bulk density is inversely related to porosity. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=161 Stat Value nobs 339 mean 1.268 min 0 max 1.56 sd 0.313 t_oc. Percentage of organic carbon in topsoil. { Organic Carbon is together with pH, the best simple indicator of the health status of the soil. Moderate to high amounts of organic carbon are associated with fertile soils with a good structure. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=191 Stat Value nobs 339 mean 2.057 min 0 max 35.27 sd 3.655 t_ph_h2o. pH of topsoil. { Low values are acidic; high values alkaline. Best soils for most crops lie in 5.5 to 7.2 range. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=159 Stat Value nobs 339 mean 5.941 min 0 max 8.34 sd 1.579 t_cec_clay. Cation exchange capacity of the clay fraction in topsoil. { The total nutrient fixing capacity of a soil is well expressed by its Cation Exchange Capacity. Soils with low CEC have little resilience and can not build up stores of nutrients. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=176 Stat Value nobs 339 mean 45.444 min 0 max 140 sd 23.164 t_cec_soil. Cation exchange capacity in topsoil. { The total nutrient fixing capacity of a soil is well expressed by its Cation Exchange Capacity. Soils with low CEC have little resilience and can not build up stores of nutrients. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=147 Stat Value nobs 339 mean 15.041 min 0 max 121 sd 11.77 t_bs. Base saturation in topsoil. { The base saturation measures the sum of exchangeable cations (nutrients) Na, Ca, Mg and K as a percentage of the overall exchange capacity of the soil (including the same cations plus H and Al). The value often shows a near linear correlation with pH. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=156 Stat Value nobs 339 mean 66.659 min 0 max 100 sd 28.273 t_teb. Total exchangable bases in topsoil. { Total exchangeable bases stand for the sum of exchangeable cations in a soil: sodium (Na), calcium (Ca), magnesium (Mg) and Potassium (K). } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=190 Stat Value nobs 339 mean 10.989 min 0 max 45.4 sd 8.067 t_caco3. Calcium carbonate (lime) content in topsoil. { Low levels of calcium carbonate enhance soil structure and are generally beneficial for crop production but at higher concentrations they may induce iron deficiency and when cemented limit the water storage capacity of soils. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=95 Stat Value nobs 339 mean 1.724 min 0 max 12.09 sd 2.852 t_caso4. Calcium sulphate (gypsum) content in topsoil { Up to 2 percent gypsum in the soil favours plant growth, between 2 and 25 percent has little or no adverse effect if in powdery form, but more than 25 percent can cause substantial reduction in yields. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=23 Freq Value 264 0 2 0.01 1 0.015 1 0.016 2 0.02 8 0.03 1 0.033 1 0.035 6 0.04 1 0.045 5 0.05 11 0.06 1 0.062 2 0.07 21 0.08 3 0.1 1 0.13 2 0.24 1 0.28 1 0.54 1 0.6 2 0.65 1 0.982 t_esp. Exchangeable sodium percentage in the topsoil { Exchangeable sodium percentage has been used to indicate levels of sodium in soils. It is calculated as the ratio of Na in the CEC (or sum of cations) ESP= Na*100/CECsoil } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=73 Stat Value nobs 339 mean 2.533 min 0 max 27 sd 2.963 t_ece. Electrical conductivity of topsoil { Salt content of a soil can be roughly estimated from the Electrical Conductivity of the soil (EC, expressed in dS m-1). Crops vary considerably in their resistance and response to salt in soils. Some crops will suffer at values as little as 2 dS m-1 (Spinach) others can stand up to 16 dS m-1 (Date palm). } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=56 Stat Value nobs 339 mean 0.31 min 0 max 7.46 sd 0.79 s_gravel. Percent of subsoil consisting of gravel Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=27 Stat Value nobs 339 mean 9.463 min 0 max 34 sd 6.254 s_sand. Percent of subsoil consisting of sand Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=64 Stat Value nobs 339 mean 40.381 min 0 max 90 sd 16.991 s_silt. Percent of subsoil consisting of silt Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=45 Stat Value nobs 339 mean 24.404 min 0 max 61 sd 10.418 s_clay. Percent of subsoil consisting of clay Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=48 Stat Value nobs 339 mean 21.631 min 0 max 65 sd 10.874 s_usda_tex_class. Measure of subsoil texture (higher values coarser texture) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=93 Stat Value nobs 339 mean 6.744 min 0 max 13 sd 2.647 s_ref_bulk_density. Bulk density = subsoil mass/subsoil volume. Calculations based on texture only. { Bulk density is inversely related to porosity. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=170 Stat Value nobs 339 mean 1.239 min 0 max 1.706 sd 0.332 s_bulk_density. Bulk density = subsoil mass/subsoil volume. Calculations based on texture, organic matter content, and porosity. { Bulk density is inversely related to porosity. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=175 Stat Value nobs 339 mean 1.211 min 0 max 1.642 sd 0.349 s_oc. Percentage of organic carbon in subsoil. { Organic Carbon is together with pH, the best simple indicator of the health status of the soil. Moderate to high amounts of organic carbon are associated with fertile soils with a good structure. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=175 Stat Value nobs 339 mean 1.327 min 0 max 39.16 sd 3.999 s_ph_h2o. pH of subsoil. { Low values are acidic; high values alkaline. Best soils for most crops lie in 5.5 to 7.2 range. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=163 Stat Value nobs 339 mean 5.526 min 0 max 8.85 sd 1.781 s_cec_clay. Cation exchange capacity of the clay fraction in subsoil. { The total nutrient fixing capacity of a soil is well expressed by its Cation Exchange Capacity. Soils with low CEC have little resilience and can not build up stores of nutrients. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=176 Stat Value nobs 339 mean 41.054 min 0 max 140 sd 23.957 s_cec_soil. Cation exchange capacity in subsoil. { The total nutrient fixing capacity of a soil is well expressed by its Cation Exchange Capacity. Soils with low CEC have little resilience and can not build up stores of nutrients. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=149 Stat Value nobs 339 mean 12.658 min 0 max 120 sd 11.847 s_bs. Base saturation in subsoil. { The base saturation measures the sum of exchangeable cations (nutrients) Na, Ca, Mg and K as a percentage of the overall exchange capacity of the soil (including the same cations plus H and Al). The value often shows a near linear correlation with pH. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=155 Stat Value nobs 339 mean 61.27 min 0 max 100 sd 29.506 s_teb. Total exchangable bases in subsoil. { Total exchangeable bases stand for the sum of exchangeable cations in a soil: sodium (Na), calcium (Ca), magnesium (Mg) and Potassium (K). } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=191 Stat Value nobs 339 mean 10.884 min 0 max 55.3 sd 9.701 s_caco3. Calcium carbonate (lime) content in subsoil. { Low levels of calcium carbonate enhance soil structure and are generally beneficial for crop production but at higher concentrations they may induce iron deficiency and when cemented limit the water storage capacity of soils. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=98 Stat Value nobs 339 mean 2.5 min 0 max 26.89 sd 4.373 s_caso4. Calcium sulphate (gypsum) content in subsoil { Up to 2 percent gypsum in the soil favours plant growth, between 2 and 25 percent has little or no adverse effect if in powdery form, but more than 25 percent can cause substantial reduction in yields. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=34 Stat Value nobs 339 mean 0.071 min 0 max 1.358 sd 0.174 s_esp. Exchangeable sodium percentage in the subsoil { Exchangeable sodium percentage has been used to indicate levels of sodium in soils. It is calculated as the ratio of Na in the CEC (or sum of cations) ESP= Na*100/CECsoil } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=84 Stat Value nobs 339 mean 2.977 min 0 max 30.5 sd 4.327 s_ece. Electrical conductivity of subsoil { Salt content of a soil can be roughly estimated from the Electrical Conductivity of the soil (EC, expressed in dS m-1). Crops vary considerably in their resistance and response to salt in soils. Some crops will suffer at values as little as 2 dS m-1 (Spinach) others can stand up to 16 dS m-1 (Date palm). } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=77 Stat Value nobs 339 mean 0.896 min 0 max 8.14 sd 1.709 su_symbol. Symbol for HWSD spatially dominant major soil group. Class=character; Type=categorical; Number non-missing=339; Number of unique values=28 First six non-missing records: society su_symbol Punan AC Batek AC Kubu AC Shompen CM Onge CM Jarwa AR su_value. Name of HWSD spatially dominant major soil group. Class=character; Type=categorical; Number non-missing=339; Number of unique values=28 First six non-missing records: society su_value Punan Acrisols Batek Acrisols Kubu Acrisols Shompen Cambisols Onge Cambisols Jarwa Arenosols ============================================================ SOURCE: Fischer, G., F. Nachtergaele, S. Prieler, H.T. van Velthuizen, L. Verelst, D. Wiberg, 2008. Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy. http://www.iiasa.ac.at ----------------------------------------------------------- sq1. Nutrient availability { Soil texture, soil organic carbon, soil pH, total exchangeable bases } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 128 1 78 2 66 3 10 4 1 5 38 6 9 7 sq2. Nutrient retention capacity { Soil Organic carbon, Soil texture, base saturation, cation exchange capacity of soil and of clay fraction } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 150 1 99 2 29 3 4 4 1 5 38 6 9 7 sq3. Rooting conditions { Soil textures, bulk density, coarse fragments, vertic soil properties and soil phases affecting root penetration and soil depth and soil volume } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 193 1 48 2 31 3 6 4 5 5 38 6 9 7 sq4. Oxygen availability to roots { Soil drainage and soil phases affecting soil drainage } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 247 1 24 2 7 3 3 4 2 5 38 6 9 7 sq5. Excess salts. { Soil salinity, soil sodicity and soil phases influencing salt conditions } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 253 1 11 2 15 3 3 4 1 5 38 6 9 7 sq6. Toxicity { Calcium carbonate and gypsum } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 267 1 9 2 4 3 2 4 1 5 38 6 9 7 sq7. Workability (constraining field management) { Soil texture, effective soil depth/volume, and soil phases constraining soil management (soil depth, rock outcrop, stoniness, gravel/concretions and hardpans) } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=8 Freq Value 9 0 192 1 53 2 26 3 7 4 5 5 38 6 9 7 ============================================================ SOURCE: wiki:dicgsh1. (2013, Jan 10). In WorldGrids. Retrieved 18:00, February 10, 2014, from http://worldgrids.org/doku.php?id=wiki:dicgsh1&rev=1357843759. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. dicgsh1a. Distance to the coast line in km based on GSHHS { Negative values show distance across land to coastline; Postive values show distance across water to coastline (very small islands have positive values) } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=278 Stat Value nobs 339 mean -304.408 min -1513.5 max 45.5 sd 340.803 dicgsh1a.flag. Distance to the coast line in km based on GSHHS { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=1 Freq Value 339 0 ============================================================ SOURCE: wiki:etmnts3. (2013, Nov 3). In WorldGrids. Retrieved 22:23, February 10, 2014, from http://worldgrids.org/doku.php?id=wiki:etmnts3&rev=1383494293. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. etmnts2a. Long-term MODIS-estimated Evapotranspiration (MOD16) (mm/year) Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=331 Stat Value nobs 339 mean 5074.855 min 451 max 16396 sd 3678.657 etmnts2a.flag. Long-term MODIS-estimated Evapotranspiration (MOD16) (mm/year) { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value 326 0 1 1 12 4 ============================================================ SOURCE: wiki:g12igb3. (2013, Nov 4). In WorldGrids. Retrieved 23:11, February 10, 2014, from http://worldgrids.org/doku.php?id=wiki:g12igb3&rev=1383553116. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. g12igb3a. Land cover type 1 (IGBP) for year 2012 Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=17 Freq Value 12 0 48 1 31 2 1 3 1 4 18 5 1 6 57 7 45 8 16 9 61 10 3 11 18 12 4 13 15 14 4 15 4 16 g12igb3a.flag. Land cover type 1 (IGBP) for year 2012 { data quality flag--higher numbers are less accurate } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=1 Freq Value 339 0 ============================================================ SOURCE: wiki:twisre3. (2013, May 1). In WorldGrids. Retrieved 23:09, February 10, 2014, from http://worldgrids.org/doku.php?id=wiki:twisre3&rev=1367407809. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. twisre3a. SAGA GIS Topographic wetness index { Sorensen, R., Zinko, U., & Seibert, J. (2006). On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrol. Earth Syst. Sci., 10(1), 101-112. doi:10.5194/hess-10-101-2006 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=87 Stat Value nobs 339 mean 111.994 min 57 max 154 sd 21.838 twisre3a.flag. SAGA GIS Topographic wetness index { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 337 0 2 3 ============================================================ SOURCE: wiki:l3pobi3. (2013, Nov 4). In WorldGrids. Retrieved 03:05, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:l3pobi3&rev=1383582266. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. l3pobi3b. Physiographic landform units Level 3 (SCALA project) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=7 Freq Value Description 18 1 flat plains 26 2 high hills 63 3 high mountains 4 4 irregular plains 57 5 low mountains 75 6 rough low hills 96 7 smooth low hills l3pobi3b.flag. Physiographic landform units Level 3 (SCALA project) { data quality flag--higher numbers are less accurate } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value 332 0 4 3 3 4 l3pobi3b.navn. Physiographic landform units Level 3 (SCALA project) { names of categories } Class=character; Type=categorical; Number non-missing=339; Number of unique values=7 Freq Value Description 18 flat plains flat plains 26 high hills high hills 63 high mountains high mountains 4 irregular plains irregular plains 57 low mountains low mountains 75 rough low hills rough low hills 96 smooth low hills smooth low hills ============================================================ SOURCE: wiki:opisre3. (2013, May 2). In WorldGrids. Retrieved 03:08, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:opisre3&rev=1367479588. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. opisre2a. SAGA GIS Topopgraphic Openess Index { Topographic openess developed by Yokoyama R, Shirasawa M and Pike RJ, 2002, Visualizing topography by Openness: A new applicationof image processing to digital elevation models. Photogrammetric Engineering and Remote Sensing, 68(3): 257-265. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=103 Stat Value nobs 339 mean 1538.074 min 1335 max 1577 sd 40.777 opisre2a.flag. SAGA GIS Topopgraphic Openess Index { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=1 Freq Value 339 0 ============================================================ SOURCE: wiki:geaisg3. (2013, Oct 30). In WorldGrids. Retrieved 03:45, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:geaisg3&rev=1383149038. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. geaisg3a. Geological ages based on the surface geology Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=40 Stat Value nobs 339 mean 50.404 min 1 max 91 sd 30.339 geaisg3a.flag. Geological ages based on the surface geology { data quality flag--higher numbers are less accurate } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=3 Freq Value 329 0 5 3 5 4 geaisg3a.navn. Geological ages based on the surface geology { names of categories } Class=character; Type=categorical; Number non-missing=339; Number of unique values=40 First six non-missing records: society geaisg3a.navn Punan Paleogene Batek Triassic, Permian Kubu Cenozoic Shompen Unknown Onge Unknown Jarwa Unknown ============================================================ SOURCE: wiki:glcjrc3. (2012, Aug 21). In WorldGrids. Retrieved 03:47, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:glcjrc3&rev=1345532060. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. glcjrc3a. Global Land Cover map for the year 2000 (GLC2000) Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=21 Freq Value Description 40 1 No data 10 2 Tree Cover, broadleaved, deciduous, closed 6 3 Tree Cover, broadleaved, deciduous, open 69 4 Tree Cover, needle-leaved, evergreen 2 5 Tree Cover, needle-leaved, deciduous 8 6 Tree Cover, mixed leaf type 1 7 Tree Cover, regularly flooded, fresh water 7 9 Mosaic: Tree Cover / Other natural vegetation 1 10 Tree Cover, burnt 8 11 Shrub Cover, closed-open, evergreen 59 12 Shrub Cover, closed-open, deciduous 32 13 Herbaceous Cover, closed-open 43 14 Sparse herbaceous or sparse shrub cover 2 15 Regularly flooded shrub and/or herbaceous cover 18 16 Cultivated and managed areas 3 17 Mosaic: Cropland / Tree Cover / Other natural vege 2 18 Mosaic: Cropland / Shrub and/or grass cover 3 19 Bare Areas 17 20 Water Bodies 5 21 Snow and Ice 3 22 Artificial surfaces and associated areas glcjrc3a.flag. Global Land Cover map for the year 2000 (GLC2000) { data quality flag--higher numbers are less accurate } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=1 Freq Value 339 0 glcjrc3a.navn. Global Land Cover map for the year 2000 (GLC2000) { names of categories } Class=character; Type=categorical; Number non-missing=339; Number of unique values=21 Freq Value Description 3 Artificial surfaces and associated areas Artificial surfaces and associated areas 3 Bare Areas Bare Areas 18 Cultivated and managed areas Cultivated and managed areas 32 Herbaceous Cover, closed-open Herbaceous Cover, closed-open 2 Mosaic: Cropland / Shrub and/or grass cover Mosaic: Cropland / Shrub and/or grass cover 3 Mosaic: Cropland / Tree Cover / Other natural vege Mosaic: Cropland / Tree Cover / Other natural vege 7 Mosaic: Tree Cover / Other natural vegetation Mosaic: Tree Cover / Other natural vegetation 40 No data No data 2 Regularly flooded shrub and/or herbaceous cover Regularly flooded shrub and/or herbaceous cover 59 Shrub Cover, closed-open, deciduous Shrub Cover, closed-open, deciduous 8 Shrub Cover, closed-open, evergreen Shrub Cover, closed-open, evergreen 5 Snow and Ice Snow and Ice 43 Sparse herbaceous or sparse shrub cover Sparse herbaceous or sparse shrub cover 10 Tree Cover, broadleaved, deciduous, closed Tree Cover, broadleaved, deciduous, closed 6 Tree Cover, broadleaved, deciduous, open Tree Cover, broadleaved, deciduous, open 1 Tree Cover, burnt Tree Cover, burnt 8 Tree Cover, mixed leaf type Tree Cover, mixed leaf type 2 Tree Cover, needle-leaved, deciduous Tree Cover, needle-leaved, deciduous 69 Tree Cover, needle-leaved, evergreen Tree Cover, needle-leaved, evergreen 1 Tree Cover, regularly flooded, fresh water Tree Cover, regularly flooded, fresh water 17 Water Bodies Water Bodies ============================================================ SOURCE: wiki:inmsre3. (2013, Jan 22). In WorldGrids. Retrieved 03:50, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:inmsre3&rev=1358848418. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. inmsre3a. Mean potential incoming solar radiation (8-day average) derived in SAGA GIS Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=19 Freq Value 1 21 1 24 1 27 2 28 3 29 5 30 5 31 12 32 54 33 95 34 51 35 39 36 34 37 13 38 10 39 4 40 4 41 3 42 2 43 inmsre3a.flag. Mean potential incoming solar radiation (8-day average) derived in SAGA GIS { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 336 0 3 3 ============================================================ SOURCE: wiki:inssre3. (2013, Jan 22). In WorldGrids. Retrieved 03:50, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:inssre3&rev=1358848394. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. inssre2a. Standard deviation of the potential incoming solar radiation derived in SAGA GIS Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=320 Stat Value nobs 339 mean 21.27 min 18.392 max 24.599 sd 0.826 inssre2a.flag. Standard deviation of the potential incoming solar radiation derived in SAGA GIS { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value 337 0 1 3 1 4 ============================================================ SOURCE: wiki:evmmod3. (2012, Aug 29). In WorldGrids. Retrieved 04:00, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:evmmod3&rev=1346248114. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. evmmod2a. Mean value of the monthly MODIS EVI time series data { Enhanced Vegetation Index: https://lpdaac.usgs.gov/products/modis_products_table/mod13q1 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=329 Stat Value nobs 339 mean 2423.82 min -1078 max 6403 sd 1481.349 evmmod2a.flag. Mean value of the monthly MODIS EVI time series data { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=1 Freq Value 339 0 ============================================================ SOURCE: wiki:lammod3. (2012, Nov 18). In WorldGrids. Retrieved 04:04, February 11, 2014, from http://worldgrids.org/doku.php?id=wiki:lammod3&rev=1353239241. ----------------------------------------------------------- Grids and descriptions obtained from http://worldgrids.org. Resolution 1 km gridcell. lammod3a. Mean value of the monthly MODIS EVI time series data { Leaf Area Index: https://lpdaac.usgs.gov/products/modis_products_table/mod15a2 } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=49 Stat Value nobs 339 mean 12.265 min 0 max 56 sd 12.922 lammod3a.flag. Mean value of the monthly MODIS EVI time series data { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=5 Freq Value 308 0 2 1 12 3 16 4 1 5 ============================================================ SOURCE: (1) Climate Research Unit, Univ. of East Anglia. Available at http://www.cru.uea.ac.uk/~markn/cru05/cru05_intro.html. (2) New, M.G., M. Hulme and P.D. Jones, 1999: Representing 20th century space-time climate variability. I: Development of a 1961-1990 mean monthly terrestrial climatology. J. Climate. 12, 829-856. ----------------------------------------------------------- anntotprecip. Average Annual Total Precipitation { The total amount of precipitation that falls during an average year (1960 to 1990) in units of millimeters (mm3 per year / mm2 = mm / year). } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=10 Freq Value 150 0 62 1 32 2 42 3 21 4 10 5 8 6 10 7 3 8 1 9 anntotprecip.flag. Average Annual Total Precipitation { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 338 0 1 6 avgannrh. Average Annual Relative Humidity { Relative humidity is defined as the ratio of the actual vapor pressure of water vapor to the saturation vapor pressure of water, in other words how much water is in the air divided by the most water that could possibly be there. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=64 Stat Value nobs 339 mean 67.313 min 28 max 97 sd 15.323 avgannrh.flag. Average Annual Relative Humidity { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 338 0 1 4 avgannrunoff. The total volume of water running over the surface in a year-averaged over the gridcell. { the volume of water running over this gridcell divided by the area of the gridcell itself (mm3 per year / mm2 over 1 yr = mm/yr) } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=197 Stat Value nobs 339 mean 381.917 min 0 max 3012 sd 563.405 avgannrunoff.flag. The total volume of water running over the surface in a year-averaged over the gridcell. { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 314 0 1 1 20 5 4 6 ============================================================ SOURCE: Willmott, Cort J., and Matsuura Kenji (2001): Terrestrial Water Budget Data Archive: Monthly Time Series (1950-1999). Available: http://climate.geog.udel.edu/~climate/html_pages/README.wb_ts2.html. ----------------------------------------------------------- Grids and variable descriptions are downloaded from the Atlas of the Biosphere, a product of the Center for Sustainability and the Global Environment (SAGE), part of the Nelson Institute for Environmental Studies at the University of Wisconsin - Madison (http://www.sage.wisc.edu/atlas/). Resolution is 30 arc minutes. evapotrans. Evapotranspiration { The amount of water removed from the surface through evaporation (due to temperature, humidity, radiation...) and through transpiration (the process by which plants move water up from their roots and out through their leaves). Evapotranspiration can be used to estimate the amount of water the local vegetation needs to remain in equilibrium with the ground water supply. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=328 Stat Value nobs 339 mean 41.586 min 0.429 max 137.989 sd 26.958 evapotrans.flag. Evapotranspiration { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 312 0 2 1 22 5 3 6 ============================================================ SOURCE: (1) Climate Research Unit, Univ. of East Anglia. Available at http://www.cru.uea.ac.uk/~markn/cru05/cru05_intro.html. (2) New, M.G., M. Hulme and P.D. Jones, 1999: Representing 20th century space-time climate variability. I: Development of a 1961-1990 mean monthly terrestrial climatology. J. Climate. 12, 829-856. ----------------------------------------------------------- Grids and variable descriptions are downloaded from the Atlas of the Biosphere, a product of the Center for Sustainability and the Global Environment (SAGE), part of the Nelson Institute for Environmental Studies at the University of Wisconsin - Madison (http://www.sage.wisc.edu/atlas/). Resolution is 30 arc minutes. gdd. Growing Degree Days { The Growing Degree Day (GDD) is based on the fact that if temperature is too hot or cold, plant growth will slow. GDD is calculated for a range specific to a particular plant or suite of plants. Taking corn as an example, it grows with a minimum temperature of 10?C and a maximum temperature of 30?C. So if one day the maximum temperature is 21?C and the minimum temperature is 15?C, the average temperature of that day was 18?C. To determine how many GDD were in that day, simply subtract the base temperature from the average temperature (18?C-10?C) remembering that this all happened on one day. Thus for this example, there were 8 GDD accumulated by the corn during that day. Had the base temperature been 5?C, there would have been 13 GDD accumulated. Annual GDD is the average number of GDD accumulated in a particular area under normal climatic conditions. In this dataset, a base temperature of 5?C was used to compute monthly GDD and those monthly values were then totaled to yield an annual number. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=328 Stat Value nobs 339 mean 3358.749 min 0 max 8476 sd 2692.242 gdd.flag. Growing Degree Days { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=2 Freq Value 338 0 1 5 ============================================================ SOURCE: (1) Foley, J.A., I.C. Prentice, N. Ramankutty, S. Levis, D. Pollard, S. Sitch, and A. Haxeltine (1996) An Integrated Biosphere Model of Land Surface Processes, Terrestrial Carbon Balance and Vegetation Dynamics, Global Biogeochemical Cycles, 10, 603-628. (2) Kucharik, C.J., J.A. Foley, C. Delire, V.A. Fisher, M.T. Coe, J. Lenters, C. Young-Molling, N. Ramankutty, J.M. Norman, and S.T. Gower (2000): Testing the performance of a dynamic global ecosystem model: Water balance, carbon balance and vegetation structure. Global Biogeochemical Cycles 14(3), 795-825. ----------------------------------------------------------- Grids and variable descriptions are downloaded from the Atlas of the Biosphere, a product of the Center for Sustainability and the Global Environment (SAGE), part of the Nelson Institute for Environmental Studies at the University of Wisconsin - Madison (http://www.sage.wisc.edu/atlas/). Resolution is 30 arc minutes. npp. Net Primary Productivity { NPP is calculated by taking the gross primary productivity (the total amount of energy/mass taken in by the plant) and subtracting the plant's respiration (the total amount of energy/mass lost by the plant as it breathes). NPP is measured in units of kg-Carbon per square meter per year, or the net amount of carbon the plants in an average square meter of the gridcell take up during an average year. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=241 Stat Value nobs 339 mean 0.395 min 0.001 max 1.157 sd 0.265 npp.flag. Net Primary Productivity { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=3 Freq Value 301 0 22 5 16 6 ============================================================ SOURCE: Willmott, Cort J., and Matsuura Kenji (2001): Terrestrial Water Budget Data Archive: Monthly Time Series (1950-1999). Available: http://climate.geog.udel.edu/~climate/html_pages/README.wb_ts2.html. ----------------------------------------------------------- pevapotrans. Potential evapotranspiration { The amount of water that would be removed from the surface by evaporation and transpiration, if the amount of water already present were not a limiting factor. In other words, the potential evapotranspiration over the Sahara desert is very large because the amount of evaporation that could take place there is huge. However, because there isn't any water there to be evaporated, the evapotranspiration that actually takes place is quite small. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=325 Stat Value nobs 339 mean 66.695 min 0.559 max 153.923 sd 34.329 pevapotrans.flag. Potential evapotranspiration { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 312 0 2 1 22 5 3 6 ============================================================ SOURCE: Ramankutty, N., and J.A. Foley (1999). Estimating historical changes in land cover: North American croplands from 1850 to 1992. Global Ecology and Biogeography 8, 381-396. ----------------------------------------------------------- Grids and variable descriptions are downloaded from the Atlas of the Biosphere, a product of the Center for Sustainability and the Global Environment (SAGE), part of the Nelson Institute for Environmental Studies at the University of Wisconsin - Madison (http://www.sage.wisc.edu/atlas/). Resolution is 30 arc minutes. potentialveg. Potential Vegetation { Potential vegetation is the vegetation that would exist at a given location had human forms of land use never existed. In other words, if humans weren't around, this would be an accurate description of the planet's land cover. } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=13 Freq Value Description 31 1 Tropical Evergreen Forest/Woodland 7 2 Tropical Deciduous Forest/Woodland 5 3 Temperate Broadleaf Evergreen Forest/Woodland 45 4 Temperate Needleleaf Evergreen Forest/Woodland 7 5 Temperate Deciduous Forest/Woodland 35 6 Boreal Evergreen Forest/Woodland 31 8 Mixed Forest 50 9 Savanna 35 10 Grassland/Steppe 18 11 Dense Shrubland 52 12 Open Shrubland 21 13 Tundra 2 15 Polar desert/Rock/Ice potentialveg.flag. Potential Vegetation { data quality flag--higher numbers are less accurate } Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=4 Freq Value 316 0 13 4 3 5 7 6 potentialveg.navn. Potential Vegetation { names of categories } Class=character; Type=categorical; Number non-missing=339; Number of unique values=13 Freq Value Description 35 Boreal Evergreen Forest/Woodland Boreal Evergreen Forest/Woodland 18 Dense Shrubland Dense Shrubland 35 Grassland/Steppe Grassland/Steppe 31 Mixed Forest Mixed Forest 52 Open Shrubland Open Shrubland 2 Polar desert/Rock/Ice Polar desert/Rock/Ice 50 Savanna Savanna 5 Temperate Broadleaf Evergreen Forest/Woodland Temperate Broadleaf Evergreen Forest/Woodland 7 Temperate Deciduous Forest/Woodland Temperate Deciduous Forest/Woodland 45 Temperate Needleleaf Evergreen Forest/Woodland Temperate Needleleaf Evergreen Forest/Woodland 7 Tropical Deciduous Forest/Woodland Tropical Deciduous Forest/Woodland 31 Tropical Evergreen Forest/Woodland Tropical Evergreen Forest/Woodland 21 Tundra Tundra ============================================================ SOURCE: Willmott, Cort J., and Matsuura Kenji (2001): Terrestrial Water Budget Data Archive: Monthly Time Series (1950-1999). Available: http://climate.geog.udel.edu/~climate/html_pages/README.wb_ts2.html. ----------------------------------------------------------- snowdepth. Snow depth { The average annual snow depth--natural log scale, range is from 10^-20mm (trace) to 10^10mm (greater than a kilometer). } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=178 Stat Value nobs 339 mean 23.541 min 0 max 659.211 sd 60.172 snowdepth.flag. Snow depth { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=5 Freq Value 312 0 11 5 5 6 3 6.30102999566398 8 999 soilmoisture. Soil Moisture { The average amount of water in the soil } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=328 Stat Value nobs 339 mean 61.002 min 0.364 max 150 sd 41.448 soilmoisture.flag. Soil Moisture { data quality flag--higher numbers are less accurate } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 312 0 2 1 22 5 3 6 ============================================================ SOURCE: Ramankutty, N., Foley, J. A., Norman, J., & McSweeney, K. (2002). The global distribution of cultivable lands: current patterns and sensitivity to possible climate change. Global Ecology and Biogeography, 11(5), 377?392. doi:10.1046/j.1466-822x.2002.00294.x ----------------------------------------------------------- Grids and variable descriptions are downloaded from the Atlas of the Biosphere, a product of the Center for Sustainability and the Global Environment (SAGE), part of the Nelson Institute for Environmental Studies at the University of Wisconsin - Madison (http://www.sage.wisc.edu/atlas/). Resolution is 30 arc minutes. suit. Suitability for agriculture { The fraction of each grid cell that is suitable to be used for agriculture. It is based on the temperature and soil conditions of each grid cell. } Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=208 Stat Value nobs 339 mean 0.245 min 0 max 0.988 sd 0.276 suit.flag. Suitability for agriculture Class=numeric; Type=ordinal; Number non-missing=339; Number of unique values=4 Freq Value 318 0 1 1 10 5 10 6 ============================================================ SOURCE: assignment by E. Anthon Eff ----------------------------------------------------------- eaid. Ethnographic Atlas ID number, if society is in the EA Class=numeric; Type=categorical; Number non-missing=207; Number of unique values=207 Stat Value nobs 207 mean 464.744 min 1 max 1248 sd 236.835 lrbid. Binford foragers ID number, if society is in the LRB Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 170 min 1 max 339 sd 98.005 sccsid. Standard Cross Cultural Sample ID number, if society is in the SCCS Class=numeric; Type=categorical; Number non-missing=37; Number of unique values=37 Stat Value nobs 37 mean 123.757 min 2 max 186 sd 43.467 wnaiid. Western North American Indian ID number, if society is in the WNAI Class=numeric; Type=categorical; Number non-missing=90; Number of unique values=90 Stat Value nobs 90 mean 69.667 min 2 max 155 sd 42.025 xcid. XC ID number, if society is in the XC Class=numeric; Type=categorical; Number non-missing=207; Number of unique values=207 Stat Value nobs 207 mean 121.816 min 1 max 248 sd 75.118 ============================================================ SOURCE: Murdock, G. P. (1981). Atlas of world cultures. University of Pittsburgh Press ----------------------------------------------------------- awc. Atlas of World Cultures ID number { assignments by Doug White } Class=character; Type=categorical; Number non-missing=115; Number of unique values=115 First six non-missing records: society awc Kubu I02b Semang E24a Vedda E14a Chenchu E15e Ainu E07a Ket E05c ============================================================ SOURCE: Murdock, G. P, and D. R White. 1969. Standard Cross-cultural Sample. Ethnology 8 (4): 329-369. ----------------------------------------------------------- society. Ethnographic Atlas society name Class=character; Type=categorical; Number non-missing=339; Number of unique values=339 First six non-missing records: society society.1 Punan Punan Batek Batek Kubu Kubu Shompen Shompen Onge Onge Jarwa Jarwa ============================================================ SOURCE: assignment by E. Anthon Eff ----------------------------------------------------------- dxid. Binford foragers ID number, if society is in the LRB Class=numeric; Type=categorical; Number non-missing=339; Number of unique values=339 Stat Value nobs 339 mean 170 min 1 max 339 sd 98.005