Table 4. Local Scale Data
| Vari. | Name | Scale | Weight | Comments |
| P2 | Historic cotton area | 0-1 | 20 | Areas of historic cotton growth were judged by the USGS classification of Savannah and vegetation around rivers. |
| P4 | Irrigation potential | 0-1 | 16 | 7km buffer on rivers. |
| P7 | Distance to ginnery | 0-8 | 1 | Distance to the majortiy of ginneries in the regions. However location data was missing for 8 ginneries in Mali, 3 in Burkina Faso, and 10 in Benin. |
| P8 | Road condition | 0-4 | 5 | Surrogate for the general level of infrastructure. Ongoing road construciton in the region may rapidly outdate this data. |
| P12 | Cattle Distribution | 0-4 | 4 | Cattle density was from 0-200 cattles/hectare. Reclassed using Jenks, may not appropriately represent availability of animal power and manure. |
| P13 | Terrestrial Ecoregions | 0-1 | 16 | More general measurement of Sudano-Guinean vegetation areas that may indicate parameters |
| P14 | Precipitation | 0-4 | 5 | Reclassed using standard deviation. Areas farther away from the ideal rainfall parameters for cotton received higher scores. |
| P15 | Problem soils | 0-4 | 4 | Problem soils classified as: No Problem (0); sandy, wetlands, and misc. (5); steeplands, infertile soils, shallow soils, clays (10); and desert (6). |
| S1 | Population density (rural areas and city centers) | 0-4 | 1 | People per hectare. City centers were given highest score, less populated areas received lowest rating. Jenks. |
| S2 | Distance to city | 0-4 | 3 | Distance grid bulit off of major citites, may not represent best cotton markets. Jenks. |