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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 resolution of 500m. The samples were collected as part of a geochemistry and health project to investigate the spatial incidences of diseases in the Rift Valley (e.g. oesophageal cancer, iodine/zinc deficiency), which included a range of data and sample collections to inform sources of micronutrients or exposure to potentially harmful elements, with outputs to inform agriculture and public health practitioners. These predictive maps provide a baseline geochemistry survey for the agri-community, academics and public health officials.

Simple

Date (Creation)
2021-08
Citation identifier
http://data.bgs.ac.uk/id/dataHolding/13607850
Point of contact
Organisation name Individual name Electronic mail address Role

University of Eldoret

Odipo Osano

not available

Originator

Moi University

Diana Menya

not available

Originator

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Distributor

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Originator

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Point of contact
Maintenance and update frequency
As needed

GEMET - INSPIRE themes, version 1.0

  • Geology

BGS Thesaurus of Geosciences

  • data.gov.uk (non-INSPIRE)

  • Soil maps

  • Geochemistry

  • Soils

dataCentre
  • data.gov.uk (non-INSPIRE)
Keywords
  • NERC_DDC

Access constraints
Other restrictions
Other constraints
licenceOGL
Other constraints
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Use constraints
Other restrictions
Other constraints

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 any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints

There are no restrictions on the use that may be made of the dataset, although an appropriate copyright acknowledgement must be made when any part of the dataset is reproduced. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner of any third party data / information contained in the dataset to make the dataset freely available without any use constraints - inclusion of any third party data / information will affect the copyright acknowledgement that needs to be made.

Spatial representation type
Grid
Language
English
Topic category
  • Geoscientific information
Geographic identifier
KE

ISO 3166_1 alpha-2 2009 revision

Geographic identifier
KEN

ISO 3166_1 alpha-3 2009 revision

Geographic identifier
KENYA [id=687000]

British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus 1979 creation

N
S
E
W
thumbnail




Begin date
2015-01-01
End date
2020-03-31
Unique resource identifier
WGS 84 (EPSG::4326)
Distribution format
Name Version

.TIF

Distributor contact
Organisation name Individual name Electronic mail address Role

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item169711

Data

OnLine resource
Protocol Linkage Name
https://doi.org/10.5285/bd1f80ef-114a-429d-a629-20d19bacec79

Digital Object Identifier (DOI)

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology

Date (Publication)
2011
Explanation

See the referenced specification

Pass
No

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Explanation

See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass
No
Statement

The soil samples were collected and analysed by the Inorganic Chemistry Facility, University of Eldoret and Moi University during ODA-I (2015-2020) as part of a geochemistry and health project to investigate the spatial incidences of diseases in the Rift Valley. Following the compilation of the soil data BGS undertook random forest machine learning analysis in conjunction with additional open-access environmental covariate datasets to create the geochemical prediction maps.

Metadata

File identifier
d171c124-58cf-6e47-e054-002128a47908 XML
Metadata language
English
Hierarchy level
Dataset
Date stamp
2025-05-07
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

British Geological Survey

enquiries@bgs.ac.uk

Point of contact
Dataset URI

http://data.bgs.ac.uk/id/dataHolding/13607850

 
 

Overviews

overview

Spatial extent

thumbnail

Keywords

data.gov.uk (non-INSPIRE)


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