Data underlying the publication: Spatial prediction of cassava seed market performance in Tanzania's Lake Zone

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Authors: Hein Bouwmeester, Gerard Bm Heuvelink, Jessey Msami, James Legg
Cited by: 1

Abstract

This dataset contains the data, code, and outputs supporting a spatial analysis of cassava seed market performance among Commercial Seed Entrepreneurs (CSEs) in Tanzania's Lake Zone. It includes anonymised survey data from 66 CSEs (2022 IITA-Tanzania phone survey, after quality control), a 25-band raster stack of environmental, agricultural, and infrastructural predictors at 5-arcminute resolution, R scripts that reproduce the published Random Forest model and Structural Potential Index analyses, and the full set of figures and summary outputs. The materials enable independent verification of the published numerical results and figures, and provide a starting point for similar analyses elsewhere.

Publication details

Journal / source
Socio-Environmental Systems Modeling
Publication date
6 May 2026
Language
EN
Document type
Dataset