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.

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

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.