Jun 18, 2012 by Cindy Cox - 0 comments

The June 2012 issue of Insights, IFPRI’s quarterly magazine, talks up HarvestChoice’s increasingly popular online tool: MAPPR. So friendly to use that a writer and a graphics designer combined wits to create the MAPPR-generated visuals for the article.

Tags: Africa, Agroecology, Geographic Information Systems (GIS), Mapping, MAPPR, Spatial Analysis, Sub-Saharan Africa, Demographics, Farming, Productivity, Markets

Sep 29, 2010 by Melanie Bacou - 0 comments

Interplay between agro-ecology and poverty prevalence amongst rural households

Mapping the global extent of soil constraints to crop growth plays an important role in developing strategies for agricultural production, environmental protection, and sustainable development at regional and global scales. The most widely used dataset is the Soil Fertility Capability Classification System (FCC) developed by Center for International Earth Science Information Network (CIESIN) and the Tropical Agriculture Program of the Earth Institute at Columbia University.

Sep 17, 2010 by Jawoo Koo - 0 comments

Layered information on a grid cell

Many of HarvestChoice spatial datasets are organized and released on 10-km grids. To make spatial analyses easier for researchers (even without having access to GIS platform), we put data layers from multiple themes together in one denormalized big table. This post describes the methodology and presents a prototype.

Aug 12, 2010 by Maria Theresa Tenorio - 0 comments

World Poverty

The spatial team broke new ground first in negotiating access to many previously unavailable national poverty maps (based on national poverty lines) and then, while acknowledging significant conceptual and methodological issues remain, constructing the first sub-national poverty map of the developing world...

Aug 10, 2010 by Jawoo Koo - 0 comments

HCADMIN 1.0

Many of HarvestChoice’s spatial analyses are done using raster datasets at various spatial resolutions (e.g., 1 km, 10 km, or 50 km grids).

Aug 6, 2010 by Jawoo Koo - 0 comments

To facilitate the exchange of HarvestChoice-developed datasets and analysis results with broader geospatial community, a standard/systematic global grid database was developed for multiple spatial resolutions (from 1 degree to 30 arc-second). The new grid database, called HCID, can be used as a key identifier that links and harmonizes various themes of raster datasets as well as aggregates them even at multiple resolutions. This can be helpful not only for GIS analysts but also for researchers who would need to handle the datasets in relational database management systems.

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