Model for Estimating Population Counts in Smallholder Settlement Schemes in Rural Kenya

Authors: Matthew Franklin*, University of Richmond
Topics: Population Geography, Geographic Information Science and Systems, Africa
Keywords: Population Modeling, Remote Sensing, Dasymetric Mapping, Kenya, Rural Population, Smallholder, GIS, Land Justice
Session Type: Poster
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


As part of a larger project examining land justice issues surrounding settlement schemes in Kenya, I developed a model for estimating population counts within schemes in Trans Nzoia County. I created my model using Census data available at a broad spatial scale from the Kenya National Bureau of Statistics, then re-aggregated using point layers consisting of households derived from high resolution satellite imagery from PlanetLabs. Using the household point population data, I created a density model based on land cover data. I then mapped the population dasymetrically into the settlement scheme polygons we digitized from scanned paper maps provided by the National Land Commission in Kenya using the weighted density model. If validated via ground-truthing by our colleagues in Kenya, this protocol will be a crucial component in the continued analysis of land justice issues pertaining to post-colonial smallholder settlement schemes in Kenya.

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