This interactive Markdown document is designed to support the prioritization of climate adaptation investments at the regional level for CGIAR science programs. It accompanies a publication and provides an interactive interface for exploring the intersection of climate hazards and agricultural exposure. The primary goal is to aid decision-makers in identifying and prioritizing regions and crops most vulnerable to climate risks.
In addition to its specific application for CGIAR programs, this codebase is built to be fully repeatable and customizable, enabling adaptation for other purposes or regions. By incorporating flexible input datasets and scalable hazard combinations, the tool is suited to a wide range of agricultural and environmental risk assessments.
For server hosted version of this tool see: https://africa-adaptation-atlas.shinyapps.io/eia_climate_prioritization/
- Open the
eia_climate_prioritization.rmdfile in RStudio. - Click the Knit button to generate an interactive HTML document.
- The document includes visualizations and analyses for climate prioritization.
The repository integrates multiple datasets to support climate prioritization analyses, including:
- Climate Hazards Data: Datasets representing key climate hazards such as drought, flood, and extreme heat.
- Agricultural Exposure Data: Information on regional crop production, soil types, and farming systems.
- Geospatial Data: Boundary and mapping data for regional analysis.
This project was developed with contributions from the following team:
- Peter Steward (Lead Scientist) - p.steward@cgiar.org
- Todd Rosenstock (Project Manager/Lead) - t.rosenstock@cgiar.org
- Brayden Youngberg (Data Discovery & Hosting Support) - b.youngberg@cgiar.org
- Harold Achicanoy (Hazard Dataset Creation) - h.achicanoy@cgiar.org
- Namita Joshi (Testing Support) - n.joshi@cgiar.org
- Lolita Muller (Testing Support) - m.lolita@cgiar.org
This work was funded under the Climate Action Lever of the CGIAR Excellence in Agronomy (EiA) Initiative and supported by the Alliance of Bioversity International and CIAT.
This project is licensed under the GPL-3.0 License.
