Combined GIS and Africa RISING Baseline Evaluation Survey (ARBES) Farm Household Data for FarmMatch, Tanzania

GIS grid cells differ in biophysical conditions (soil, rainfall, etc.) and socio-economic circumstances (e.g. distance to market, population density). Moreover, within these cells we have households sampled within the Africa RISING Baseline Evaluation Survey (ARBES) database collected by IFPRI. For each household, we analyze in particular the main, easy to collect farm and household features (size, objectives, livestock, crop number, % off-farm income, etc.) and relate these to the farm practices and project-proposed technologies and techniques. The matching algorithm combines the GIS-derived data on biophysical conditions and socio-economic context circumstances with the farm features, to estimate the probability of use of the various technologies and techniques. </p>The data scored are as follows: Elevation, Digital Elevation Model, Slope, Precipitation, Temperature, Soil bulk density, Soil cation exchange capacity, Organic carbon, Distance to market, Population density, Household size, Children under 7, Age of household head, Education years, Total land size, Average distance to fields, Soil erosion, Animal mixed, Communal labor, Hired labor, Total labor, Months shortage, TLU chickens, TLU small ruminants, TLU large ruminants, Has irrigation, Uses fallowing, Uses manure, Num trees, Area intercropped, Fertilizer value, Improved seed value, Pigeon pea, Groundnut, Chickpea, Improved cattle, Improved goats, Improved pigs.