Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Kenya future climates under 2 pathways and five 19-band rasters from five global climate models (GCMs) for valid MaxEnt landscape

Domain:

climategeospatial

Record type:

dataset
Creator:
Boo
Publisher:
Zenodo
Host:avatar
This is for raw future climate data (over limit of Github)   1_data/climate_data/raw_future: future climates under 2 pathways in two subfolders, each contain five 19-band rasters from five global climate models (GCMs).

Visit

doi.orgzenodo.org

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Count regression models for under-five deaths in rural EthiopiaComparison of Climate Change Projections for Ethiopia under CMIP5 GCMsHIV incidence and prevalence projections for Zimbabwe: Findings from five mathematical modelsFuture global water scarcity including quality under climate and socioeconomic changePredictive models and under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health SurveyOptimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data

Count regression models for under-five deaths in rural Ethiopia

Abstract Under-five mortality is defined as the likelihood for a child born alive to die b

Comparison of Climate Change Projections for Ethiopia under CMIP5 GCMs

HIV incidence and prevalence projections for Zimbabwe: Findings from five mathematical models

Introduction: Understanding how HIV epidemics are likely to behave in the future is key to informing

Future global water scarcity including quality under climate and socioeconomic change

Inadequate availability of clean water presents systemic risks to human health, food production, ene

Predictive models and under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

Abstract Background There is a dearth of literature on predictive models estimating under-

Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data