Kenya Uber H3 level 6 database

Database for characterization of sub national units for Kenya using Uber H3 level 6 hexagons. Data includes crop, livestock, as well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit. Data sources used: Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015 Crops: IFPRI SPAM 2010 for Countries in SS Africa SPAM 2017 Climate: Worldclim 2.1 Elevation: SRTM CSI CGIAR kebuffalo2 buffalo kecattle20 Cattle keducks201 Ducks kechicken2 Chicken kesheep201 Sheep kegoats201 Goats keshoats20 Shoats keacofarea coffee area ha kebanaarea banana area ha kebarlarea barley area ha kebeanarea bean area ha kecassarea cassava area kecnutarea colanut area kecottarea cotton area kecowparea cowpea area ha kegrouarea groundnut area ha kelentarea lentil area ha kemaizarea maize area ha keocerarea other cereal area ha keofibarea other fiber crops area ha keooilarea other oilcrops area ha keopularea other pulses area ha keortsarea other rtbs area ha keplntarea plantain area ha kepmilarea pearl milletarea ha kepotaarea potato area ha kerapearea Rape area ha kerestarea Rest of cops area ha kericearea rice area ha kesesaarea sesame area ha kesmilarea millet area ha kesorgarea sorghum area ha kesoybarea soybean area ha kesugcarea sugarcane area ha kesunfarea sunflower area ha keswpoarea sweet potato area ha keteasarea tea area ha ketemfarea temperate fruit area ha ketobaarea tobacco area ha ketrofarea tropical fruit area ha kevegearea vegetables area ha kewheaarea wheat area ha keyamsarea yams area ha keprecann_ annual rainfall ketmax_ann longterm annual tmax (1970-2000) ketmin_ann longterm annual tmin (1970-2000) keworld250 Elevation m a.b.s.l. Caveats: Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.