dataset · Other
Western Kenya soil geochemistry
Soil prediction maps for 56 chemical elements, pH and organic matter content have been produced using machine learning analysis in western Kenya. The predictive maps were based on 452 soil samples collected across western Kenya during field surveys carried out between 2015 and 2020. Samples were analysed by the inorganic chemistry laboratories at the British Geological Survey. The maps, created using random forest machine learning algorithms, are displayed as raster files with a spatial resoluti
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Licence: ["The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in an
Evidence quality: 32
Listed in data.gov.uk public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
Evidence
- https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item169711
- https://www.data.gov.uk/dataset/ac80b982-52c2-46fa-a9a9-e732059e4082/western-kenya-soil-geochemistry
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.