Subject area	Spatial epidemiology
More specific subject area	Disease mapping, movement ecology.
Type of data	Raster and vector (point and polygon) data
How data was acquired	Normalized Difference Vegetation Index (NDVI) from 250 m MOD 13Q product, Evapotranspiration from 1 km MOD 16[1], Topographic wetness index (TWI) from 90 m SRTM DEM, soil types from 1:50,000 soil map from Soil survey of Kenya[2], Bioclimatic variables from 1 km AfriClim[3], mosquito vectors occurrence data sampled using Garmin Etrex 20x GPS - Model 010–01508-00, cattle trajectory from Followit Iridium collars.
Data format	Raw, analyzed (tiffs, ascii & shp.)
Experimental factors	Extraction of seasonality parameters from NDVI, reducing dimensionality, test for collinearity of variables.
Experimental features	TIMESAT[4]was used to extract seasonality parameters from NDVI time series data spanning from 2001 to 2015.
	Principal component Analysis was used to reduce data dimensionality of satellite-derived evapotranspiration for 2001–2013
	Variance inflation factors was applied on AfriClim data.
Data source location	Lies within the bounding box of Latitude E36.724° Longitude N2.2820° and Longitude E41.6921° Latitude S3.2230°, which traverses Isiolo, Garissa, Tana River and Lamu counties in Kenya.
Data accessibility	Provided in this article