Georgia 2017
Robbie Hart
5/19/2017
R Markdown
Guria
Table GU1. Guria Informants
## community elevation informant.code gender age
## 1 Dvabzu 125 175 F 68
## 2 Dvabzu 125 176 M 56
## 3 Vani 270 177 M 64
## 4 Vani 270 178 M 50
## 5 Vani 270 179 M 75
## 6 Vani 270 180 M 75
## 7 Vani 270 181 M 76
## 8 Metsieti 285 182 M 53
## 9 Metsieti 285 183 F 45
## 10 Metsieti 285 184 F 13
## 11 Zoti 835 185 M 60
## 12 Zoti 835 186 F 55
## 13 Zoti 835 187 F 59
## 14 Zoti 835 188 M 65
## 15 Zoti 835 189 M 53
## 16 Bakhmaro, Baisrua pastures 2400 190 M 54
## 17 Bakhmaro, Baisrua pastures 2400 191 M 44
## 18 Bakhmaro, Baisrua pastures 2400 192 M 50
## 19 Bakhmaro, Baisrua pastures 2400 193 M 36
## 20 Bakhmaro, Baisrua pastures 2400 194 F 40
## 21 Bakhmaro, Baisrua pastures 2400 195 M 70
## 22 Zemo Surebi 700 196 M 65
## 23 Zemo Surebi 700 197 M 61
## 24 Pampaleti 255 198 M 72
## 25 Pampaleti 255 199 M 77
## 26 Pampaleti 255 200 M 86
## 27 Vakijvari 323 201 M 75
## 28 Natanebi 120 202 M NA
## 29 Natanebi 120 203 F NA
## 30 Pampaleti 255 204 F 65
## 31 Pampaleti 255 205 F 50
## 32 Pampaleti 255 206 F 70Figure GU0. Proportional Euler diagrams of plants and usage shared among superdistricts 
Rainer: relatively high stress here means that the overlap is doing a poor job of representing the actual similarities. Is there any possibility of joining these communities into districts, as we did before?
Figure GU1. Informants from the Guria region ordered by their distance in plants reported (A,B,C) and in uses reported (D,E,F). 
Figure GU2. Informants from the Guria region ordered by their distance in plants reported (A,B,C) and in uses reported (D,E,F). Informants (see Table GU1), are more differentiated by plant species reported (A, informants shown but plant species hidden for visual clarity) than by use reported (D, informants and uses shown). Elevation of informant community significantly fits the ordination in plantspace (B, r\(^2\) = 0.56, p = 0.001) and in usespace (E, r\(^2\) = 0.214, p = 0.041). Community significantly fits the ordination for plantspace only (C, r\(^2\) = 0.435, p = 0.021) while gender significantly fits the ordination for usespace only (F, r\(^2\) = 0.315, p = 0.001).
To sum up: for Guria, geographic differences are more important in defining which plants people report to using, while gender plays an important part in defining HOW they use plants.
Table GU2. Mean informant consensus across use categories among informant communities, with total number of use reports and taxa.
| Community | N.Use.Categories | Total.Use.Reports | Total.Taxa | ICF.mean | ICF.sd |
|---|---|---|---|---|---|
| Bakhmaro, Baisrua pastures | 9 | 890 | 67 | 0.95 | 0.04 |
| Dvabzu | 6 | 171 | 93 | 0.16 | 0.22 |
| Metsieti | 6 | 240 | 66 | 0.77 | 0.12 |
| Natanebi | 3 | 76 | 36 | 0.71 | 0.25 |
| Pampaleti | 10 | 786 | 199 | 0.73 | 0.16 |
| Vakijvari | 9 | 121 | 93 | 0.10 | 0.15 |
| Vani | 9 | 372 | 113 | 0.54 | 0.26 |
| Zemo Surebi | 9 | 297 | 116 | 0.54 | 0.09 |
| Zoti | 9 | 340 | 121 | 0.70 | 0.24 |
Figure GU3. Informant consensus plotted over number of use reports for each Use Category among informant communities.
Racha
Table RA1. Racha Informants
## community elevation informant.code gender age
## 1 Kveda Tlugi 1129 207 M 71
## 2 Kveda Tlugi 1129 208 M 46
## 3 Kveda Tlugi 1129 209 M 39
## 4 Kveda Tlugi 1129 210 F 70
## 5 Kveda Tlugi 1129 211 M 58
## 6 Kveda Tlugi 1129 212 M 20
## 7 Kveda Shavra 788 213 F 75
## 8 Mravaldzali 2000 214 M 65
## 9 Mravaldzali 2000 215 M 80
## 10 Gebi 1350 216 M 74
## 11 Gebi 1350 217 M 73
## 12 Gona 1680 218 M 60
## 13 Shardometi 776 219 F 80Figure RA0. Proportional Euler diagrams of plants and usage shared among superdistricts 
Rainer: Racha also has fairly high stress, possibility of joining communities into districts?
Figure RA1. Informants from the Racha region ordered by their distance in plants reported (A,B,C) and in uses reported (D,E,F). 
Figure RA2. Informants from the Racha region ordered by their distance in plants reported (A,B,C) and in uses reported (D,E,F). Informants (see Table RA1), are strongly clustered by community in terms of plant species reported (A). This is not true in use reported (D, informants and uses shown). Presumably becuase of the community effect (C, r\(^2\) = 1, p = 0.001), elevation of informant community also significantly fits the ordination in plantspace (B, r\(^2\) = 0.661, p = 0.012) but not in usespace (E, r\(^2\) = 0.106, p = 0.618). Gender and age were not significant.
To sum up: for Racha, divergent plants reported drive big differences among communities. This is not the case for uses.
Table RA2. Mean informant consensus across use categories among informant communities, with total number of use reports and taxa.
| Community | N.Use.Categories | Total.Use.Reports | Total.Taxa | ICF.mean | ICF.sd |
|---|---|---|---|---|---|
| Gebi | 6 | 181 | 77 | 0.59 | 0.05 |
| Gona | 6 | 83 | 69 | 0.11 | 0.12 |
| Kveda Shavra | 6 | 88 | 83 | 0.03 | 0.06 |
| Kveda Tlugi | 10 | 1027 | 219 | 0.74 | 0.28 |
| Mravaldzali | 6 | 67 | 37 | 0.34 | 0.26 |
| Shardometi | 7 | 115 | 99 | 0.06 | 0.10 |
Figure RA3. Informant consensus plotted over number of use reports for each Use Category among informant communities.
Comparison with previous analysis
Table G1 (at end of document becuase of length)
Figure G1. Proportional Euler diagrams of plants and usage shared among Regions 
Figure G2
Figure G2. Informants from all Georgia regions ordered by their distance in plants reported (A,B,C) and in uses reported (D,E,F). Informants, numbered according to Table G1, in plant-space (A) and use-space (D). Elevation of informant community significantly fits the ordination in plantspace (B, r\(^2\) = 0.461, p = 0.001) and in usespace (E, r\(^2\) = 0.072, p = 0.003). Region significantly fits the ordination for both plantspace (C, r\(^2\) = 0.49, p = 0.001) and usespace (F, r\(^2\) = 0.357, p = 0.001).
Note: The variable age is dropped out so that we don’t lose a big chunk of Svaneti-Racha informants (but if we included it, it comes out as non-significant); and the variable gender (not shown) is not significant in plantspace (p = 0.112, r\(^2\) = 0.011) but does come as significant (but only explaining 2% of variation) in usespace (p = 0.01, r\(^2\) = 0.023)
To sum up As expected, Guria is somewhat more divergent in plant and use space, and this could be explained by elevation. In addition, there is some overlap between Svaneti-Rahca (2015) data and the new Racha data.
Figure G3. Ordination fit of different variables by region r\(^2\) values for the two new regions, and for comparison for Svaneti-Racha (2015) and all Georgia are given on the y axis, and each variable on the x axis. I’ve indicated p-value with size.
Cross-region comparison of ICF
Figure G4. Informant Consensus Factor (ICF) is broadly similar across regions 
Figure G5. Zooming in just on ICFs above 0.5 (which only cuts off TK and RA Animal Food) 
Just Racha-Lechkumi, Racha, and Guria
Table RLG1 (at end of document becuase of length)
## Informant.name gender elevation region community
## 1 95 M 750 RL Oqhureshi
## 2 96 F 750 RL Oqhureshi
## 3 97 M 700 RL Oqhureshi
## 4 98 F 700 RL Oqhureshi
## 5 99 F 700 RL Oqhureshi
## 6 100 M 700 RL Oqhureshi
## 7 101 M 1100 RL Nakuraleshi
## 8 102 M 1100 RL Nakuraleshi
## 9 103 M 1100 RL Nakuraleshi
## 10 104 M 1100 RL Nakuraleshi
## 11 105 F 1100 RL Nakuraleshi
## 12 106 F 1100 RL Nakuraleshi
## 13 107 M 1100 RL Nakuraleshi
## 14 108 F 1100 RL Nakuraleshi
## 15 109 M 1100 RL Nakuraleshi
## 16 110 M 1100 RL Nakuraleshi
## 17 175 F 125 GU Dvabzu
## 18 176 M 125 GU Dvabzu
## 19 177 M 270 GU Vani
## 20 178 M 270 GU Vani
## 21 179 M 270 GU Vani
## 22 180 M 270 GU Vani
## 23 181 M 270 GU Vani
## 24 182 M 285 GU Metsieti
## 25 183 F 285 GU Metsieti
## 26 184 F 285 GU Metsieti
## 27 185 M 835 GU Zoti
## 28 186 F 835 GU Zoti
## 29 187 F 835 GU Zoti
## 30 188 M 835 GU Zoti
## 31 189 M 835 GU Zoti
## 32 190 M 2400 GU Bakhmaro, Baisrua pastures
## 33 191 M 2400 GU Bakhmaro, Baisrua pastures
## 34 192 M 2400 GU Bakhmaro, Baisrua pastures
## 35 193 M 2400 GU Bakhmaro, Baisrua pastures
## 36 194 F 2400 GU Bakhmaro, Baisrua pastures
## 37 195 M 2400 GU Bakhmaro, Baisrua pastures
## 38 196 M 700 GU Zemo Surebi
## 39 197 M 700 GU Zemo Surebi
## 40 198 M 255 GU Pampaleti
## 41 199 M 255 GU Pampaleti
## 42 200 M 255 GU Pampaleti
## 43 201 M 323 GU Vakijvari
## 44 202 M 120 GU Natanebi
## 45 203 F 120 GU Natanebi
## 46 204 F 255 GU Pampaleti
## 47 205 F 255 GU Pampaleti
## 48 206 F 255 GU Pampaleti
## 49 207 M 1129 RA Kveda Tlugi
## 50 208 M 1129 RA Kveda Tlugi
## 51 209 M 1129 RA Kveda Tlugi
## 52 210 F 1129 RA Kveda Tlugi
## 53 211 M 1129 RA Kveda Tlugi
## 54 212 M 1129 RA Kveda Tlugi
## 55 213 F 788 RA Kveda Shavra
## 56 214 M 2000 RA Mravaldzali
## 57 215 M 2000 RA Mravaldzali
## 58 216 M 1350 RA Gebi
## 59 217 M 1350 RA Gebi
## 60 218 M 1680 RA Gona
## 61 219 F 776 RA ShardometiFigure RLG1. Proportional Euler diagrams of plants and usage shared among Regions 
Figure RLG2
Figure RLG2. Informants from Racha (RA), Racha-Lechkumi (RL) and Guria (GU) ordered by their distance in plants reported (A,B,C) and in uses reported (D,E,F). Informants, numbered according to Table RLG1, in plant-space (A) and use-space (D). Elevation of informant community significantly fits the ordination in plantspace (B, r\(^2\) = 0.341, p = 0.001) and in usespace (E, r\(^2\) = 0.15, p = 0.013). Region significantly fits the ordination for both plantspace (C, r\(^2\) = 0.545, p = 0.001) and usespace (F, r\(^2\) = 0.293, p = 0.001).
Note: The variable age is dropped out so that we don’t lose several Racha-Lechkumi informants (but if we included it, it comes out as non-significant); and the variable gender (not shown) is not significant in plantspace (p = 0.175, r\(^2\) = 0.029) but does come as significant (but only explaining 8% of variation) in usespace (p = 0.013, r\(^2\) = 0.077)
To sum up Plants and uses reported from Racha-Lechkumi are very similar to one another, in comparison with much more in Guria and Racha. For uses, Guria and Racha acutally have more overlap than Racha and Racha-Lechkumi. This is explained by relatively few use categories (construction, food, medicinal, utensils) reported from Racha Lechkumi (see Figure RLG4), and more from Racha and Guria. Part of this could be do to methodological differences that could be addressed with some data cleaning (eg. Racha and Guria both have a “no use” category that Racha Lechkumi does not), but other differences (especially the existence of animal related categories ‘animal food’ and ‘veterinary’ in Racha and Guria) seem to be real similarities.
Figure RLG3. Ordination fit of different variables by region r\(^2\) values for the three areas are given on the y axis, and each variable on the x axis. I’ve indicated p-value with size.
Cross-region comparison of ICF
Figure RLG4. Informant Consensus Factor (ICF) is broadly similar across regions 
Table G1
## Informant.name gender elevation region community
## TK1 1 F 1300 TK Barisakho
## TK2 2 M 1800 TK Aragvispiri
## TK3 3 M 1800 TK Aragvispiri
## TK4 4 M 1800 TK Aragvispiri
## TK5 5 M 1350 TK Ortskali
## TK6 6 M 1350 TK Ortskali
## TK7 7 M 1750 TK Atabe
## TK8 8 M 1300 TK Barisakho
## TK9 9 M 1300 TK Barisakho
## TK10 10 M 1400 TK Kobulo
## TK11 11 M 1300 TK Barisakho
## TK12 12 M 1300 TK Barisakho
## TK13 13 M 2000 TK Roshka
## TK14 14 M 2000 TK Roshka
## SK15 15 F 1650 SK Bakuriani
## SK16 16 F 2200 SK Tabatskuri (Armenian)
## SK17 17 F 2200 SK Tabatskuri (Armenian)
## SK18 18 M 2200 SK Tabatskuri (Armenian)
## SK19 19 F 2200 SK Tabatskuri (Armenian)
## SK20 20 F 2200 SK Tabatskuri (Armenian)
## TK21 21 F 1900 TK Juhta
## SK22 22 M 1650 SK Bakuriani
## TK23 24 F 1450 TK Shatili
## TK24 25 M 1900 TK Omalo
## TK25 26 M 1900 TK Omalo
## TK26 27 F 1900 TK Omalo
## TK27 28 M 2335 TK Bochorna
## TK28 29 M 2335 TK Bochorna
## TK29 30 M 2335 TK Bochorna
## TK30 31 M 2335 TK Bochorna
## TK31 32 M 1900 TK Omalo
## TK32 33 M 1900 TK Shenako
## TK33 34 F 1780 TK Dartlo
## TK34 35 F 2085 TK Girevi
## TK35 36 F 1900 TK Jarvoseli
## TK36 37 M 1900 TK Jarvoseli
## TK37 38 M 1900 TK Jarvoseli
## TK38 39 F 2085 TK Kvemo Alvani
## TK39 42 M NA TK Laliskuri
## TK40 43 F NA TK Laliskuri
## TK41 47 M NA TK Shtrolta
## SR42 48 M 1660 SR Leli
## SR43 49 F 1660 SR Leli
## SR44 50 M 1050 SR Lahamula
## SR45 51 F 1050 SR Lahamula
## SR46 52 F 1050 SR Lahamula
## SR47 53 M 1530 SR Labsqhaldi
## SR48 54 M 1230 SR Tviberi
## SR49 55 M 1320 SR Tskhekvani
## SR50 56 F 1320 SR Tskhekvani
## SR51 57 M 1320 SR Tskhekvani
## SR52 58 M 1550 SR Ebuthi
## SR53 59 F 1550 SR Ebuthi
## SR54 60 M 1550 SR Ebuthi
## SR55 61 M 1550 SR Ebuthi
## SR56 62 F 1550 SR Ebuthi
## SR57 63 F 1550 SR Ebuthi
## SR58 64 M 1550 SR Ebuthi
## SR59 65 F 1550 SR Ebuthi
## SR60 66 F 1550 SR Ebuthi
## SR61 67 F 1550 SR Ebuthi
## SR62 68 M 1850 SR Tzvrimi
## SR63 69 F 1850 SR Tzvrimi
## SR64 70 F 1600 SR Chvabiani
## SR65 71 M 1600 SR Chvabiani
## SR66 72 M 2150 SR Zhibiani
## SR67 73 F 2150 SR Zhibiani
## SR68 74 M 2150 SR Zhibiani
## SR69 75 F 2150 SR Zhibiani
## SR70 76 F 2050 SR Murqhmeli
## SR71 77 M 2100 SR Zhibiani
## SR72 78 F 2100 SR Zhibiani
## SR73 79 M 1920 SR Zeskho
## SR74 80 F 1920 SR Zeskho
## SR75 81 M 1150 SR Mananauri
## SR76 82 M 1150 SR Mananauri
## SR77 83 M 1150 SR Mananauri
## SR78 84 F 850 SR Babili
## SR79 85 M 850 SR Babili
## SR80 86 M 750 SR Babili
## SR81 87 F 750 SR Babili
## SR82 88 M 750 SR Babili
## SR83 89 M 660 SR Khophuri
## SR84 90 F 660 SR Khophuri
## SR85 91 M 800 SR Gvimbrala
## SR86 92 F 800 SR Gvimbrala
## SR87 93 F 800 SR Gvimbrala
## SR88 94 F 800 SR Gvimbrala
## SR89 95 M 750 SR Oqhureshi
## SR90 96 F 750 SR Oqhureshi
## SR91 97 M 700 SR Oqhureshi
## SR92 98 F 700 SR Oqhureshi
## SR93 99 F 700 SR Oqhureshi
## SR94 100 M 700 SR Oqhureshi
## SR95 101 M 1100 SR Nakuraleshi
## SR96 102 M 1100 SR Nakuraleshi
## SR97 103 M 1100 SR Nakuraleshi
## SR98 104 M 1100 SR Nakuraleshi
## SR99 105 F 1100 SR Nakuraleshi
## SR100 106 F 1100 SR Nakuraleshi
## SR101 107 M 1100 SR Nakuraleshi
## SR102 108 F 1100 SR Nakuraleshi
## SR103 109 M 1100 SR Nakuraleshi
## SR104 110 M 1100 SR Nakuraleshi
## TK105 111 M 1900 TK Shenako
## TK106 112 M 1900 TK Omalo
## TK107 113 F 1900 TK Diklo
## TK108 114 M 1900 TK Omalo
## TK109 115 M 2100 TK Gogrulta
## TK110 116 F 2100 TK Gogrulta
## TK111 117 F 1780 TK Dartlo
## TK112 118 F 1780 TK Dartlo
## TK113 119 M 1900 TK Dino
## TK114 120 M 1900 TK Dino
## TK115 121 M 2000 TK Tchesho
## TK116 122 M 2000 TK Beghelas Tchala
## TK117 123 M 2000 TK Beghelas Tchala
## TK118 124 F 1900 TK Jarvoseli
## TK119 125 F 1900 TK Omalo
## TK120 126 F 1300 TK Barisakho
## TK121 127 F 1300 TK Barisakho
## TK122 128 F 1300 TK Barisakho
## TK123 129 M 1300 TK Barisakho
## TK124 130 F 1300 TK Barisakho
## TK125 131 F 1300 TK Barisakho
## TK126 132 F 1300 TK Barisakho
## TK127 133 M 1300 TK Barisakho
## TK128 134 F 1300 TK Barisakho
## TK129 135 M 1780 TK Chagsopeli
## TK130 136 F 1780 TK Chagsopeli
## TK131 137 F 2000 TK Roshka
## TK132 138 F 1300 TK Barisakho
## TK133 139 M 1300 TK Barisakho
## TK134 140 F 2000 TK Roshka
## TK135 141 M 2000 TK Roshka
## TK136 142 F 1450 TK Shatili
## TK137 143 F 1450 TK Shatili
## TK138 144 M 1450 TK Shatili
## TK139 145 M 1800 TK Ardoti
## SK140 146 F 2200 SK Tabatskuri (Armenian)
## SK141 147 F 2200 SK Tabatskuri (Armenian)
## SK142 148 F 2200 SK Tabatskuri (Armenian)
## SK143 149 M 2200 SK Tabatskuri (Armenian)
## SK144 150 M 2200 SK Tabatskuri (Armenian)
## SK145 151 F 2200 SK Tabatskuri (Armenian)
## SK146 152 M 2200 SK Tabatskuri (Armenian)
## SK147 153 M 2200 SK Tabatskuri (Armenian)
## SK148 154 M 2200 SK Tabatskuri (Armenian)
## SK149 155 M 2200 SK Moliti (Armenian)
## TK150 156 M 1650 TK Omalo
## SK151 157 F 1650 SK Bakuriani
## SK152 158 M 1650 SK Bakuriani
## SK153 159 M 1650 SK Bakuriani
## SK154 160 F 1650 SK Bakuriani
## SK155 161 F 1650 SK Bakuriani
## SK156 162 M 1050 SK Tsaghveri
## SK157 163 F 1150 SK Mzetamze
## SK158 164 F 1150 SK Mzetamze
## SK159 165 M 1150 SK Mzetamze
## SK160 166 M 1150 SK Mzetamze
## SK161 167 F 1150 SK Mzetamze
## SK162 168 F 1650 SK Bakuriani
## SK163 169 F 1650 SK Bakuriani
## SK164 170 F 1650 SK Bakuriani
## SK165 171 F 1650 SK Bakuriani
## SK166 172 F 1650 SK Bakuriani
## SK167 173 F 1650 SK Bakuriani
## TK168 174 F 1450 TK Shatili
## GU169 175 F 125 GU Dvabzu
## GU170 176 M 125 GU Dvabzu
## GU171 177 M 270 GU Vani
## GU172 178 M 270 GU Vani
## GU173 179 M 270 GU Vani
## GU174 180 M 270 GU Vani
## GU175 181 M 270 GU Vani
## GU176 182 M 285 GU Metsieti
## GU177 183 F 285 GU Metsieti
## GU178 184 F 285 GU Metsieti
## GU179 185 M 835 GU Zoti
## GU180 186 F 835 GU Zoti
## GU181 187 F 835 GU Zoti
## GU182 188 M 835 GU Zoti
## GU183 189 M 835 GU Zoti
## GU184 190 M 2400 GU Bakhmaro, Baisrua pastures
## GU185 191 M 2400 GU Bakhmaro, Baisrua pastures
## GU186 192 M 2400 GU Bakhmaro, Baisrua pastures
## GU187 193 M 2400 GU Bakhmaro, Baisrua pastures
## GU188 194 F 2400 GU Bakhmaro, Baisrua pastures
## GU189 195 M 2400 GU Bakhmaro, Baisrua pastures
## GU190 196 M 700 GU Zemo Surebi
## GU191 197 M 700 GU Zemo Surebi
## GU192 198 M 255 GU Pampaleti
## GU193 199 M 255 GU Pampaleti
## GU194 200 M 255 GU Pampaleti
## GU195 201 M 323 GU Vakijvari
## GU196 202 M 120 GU Natanebi
## GU197 203 F 120 GU Natanebi
## GU198 204 F 255 GU Pampaleti
## GU199 205 F 255 GU Pampaleti
## GU200 206 F 255 GU Pampaleti
## RA201 207 M 1129 RA Kveda Tlugi
## RA202 208 M 1129 RA Kveda Tlugi
## RA203 209 M 1129 RA Kveda Tlugi
## RA204 210 F 1129 RA Kveda Tlugi
## RA205 211 M 1129 RA Kveda Tlugi
## RA206 212 M 1129 RA Kveda Tlugi
## RA207 213 F 788 RA Kveda Shavra
## RA208 214 M 2000 RA Mravaldzali
## RA209 215 M 2000 RA Mravaldzali
## RA210 216 M 1350 RA Gebi
## RA211 217 M 1350 RA Gebi
## RA212 218 M 1680 RA Gona
## RA213 219 F 776 RA Shardometi