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Predicted surface water occupancy across Kenya with inset maps highlighting Mandera, Samburu, and Kilifi counties.

Domaine:

geospatialenvironment and energy

Type de record:

datasetpaper
Créateur:
WeiNicRobVic
Hôte:avatar

(A) Surface water occupancy predicted by MaxEnt at 1 km resolution; (B) census-based consumer density map of surface water at the county level; inset maps show MaxEnt prediction versus the initial water point coverage in Mandera (C, D), Samburu (E, F), and Kilifi (G, H) counties.

Languages

SamburuSwahili, Coastal

Tags

MedicineBiotechnologyEcologyCancerInorganic ChemistryEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedKenya Water point mapping databasesMaxEnt+10

Licenses

CC BY 4.0

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Predicted unprotected dug well occupancy across Kenya with inset maps highlighting Mandera, Samburu, and Kilifi counties.

(A) Unprotected well occupancy predicted by MaxEnt at 1 km resolution; (B) DHS-based consumer den