The CGIAR is a global partnership of research organizations dedicated to reducing poverty and hunger, improving human health and nutrition, and enhancing ecosystem resilience through agricultural research. Consortium for Spatial Information (CGIAR-CSI) is spatial science community that facilitates CGIAR’s international agricultural development research using spatial analysis, GIS, and remote sensing.


Showcase of popular spatial datasets shared by CGIAR-CSI Community

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  • CRU-TS v3.10.01 Historic Climate Database for GIS


    University of East Anglia (UEA)’s CRU-TS is one of the most widely used historical climate database. To help facilitate the use of this database in the CSI community, we have converted the raw data into the Esri ASCII raster format.

  • Global Aridity and PET Database


    The Global Potential Evapo-Transpiration (Global-PET) and Global Aridity Index (Global-Aridity) dataset provides high-resolution global raster climate data related to evapo-transpiration processes and rainfall deficit for potential vegetative growth.

  • SRTM 90m Digital Elevation Database v4.1


    The SRTM digital elevation data, produced by NASA originally, is a major breakthrough in digital mapping of the world, and provides a major advance in the accessibility of high quality elevation data for large portions of the tropics and other areas of the developing world.


Showcase of our recent maps, tools, apps, and websites

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Here are our recent blog posts

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  • CGIAR-CSI at ESRI User Conference

    During the week of July 14 – 18, 2014 the CGIAR-CSI representatives came together in San Diego, California to be part of the ESRI (Environmental Systems Research Institute) User Conference. The conference gathered over 16.000 participants to share their common interest in maps, data, remote sensing and the latest GIS technologies. CSI members across 7 […]

  • RTB GIS initiative promotes open data

    Cross-posted from Roots, Tubers & Bananas (RTB) News By Glenn Hyman – International Center for Tropical Agriculture (CIAT) Far too often our research and development activities remain hidden in difficult-to-find places, limiting its potential to achieve impact. A group of seven professionals applying spatial analysis and geographic information systems (GIS) to roots, tubers and bananas […]

  • “Time to model all life on Earth” – Agriculture?


    A recent Nature article discusses the need for developing GCM-like General Ecosystem Models (GEM) to simulate whole ecosystems. We could also voice that it’s “Time to model all agriculture on Earth” (or maybe it’s already past-due).


CSI representative in each center is a central contact point for everything spatial in the center's research.

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