Apr 30, 2015 by Melanie Bacou

HarvestChoice releases over 500 newly-updated indicators for Africa South of the Sahara at 10 km resolution.

HarvestChoice data release r2.5

Dec 31, 2014 by Jeffrey Dickinson

In the 21st century, many people have cell phones. This is true even in Tanzania, the focus of a recent IFPRI survey, where 35% of farm households report having mobile phones in 2007. Using technology, we can reach these farmers in a faster and less expensive way by sending surveys directly to their mobile phones.

Jul 9, 2013 by Kate Sebastian

Last March at the Africa Agriculture GIS Week in Addis Ababa, Ethiopia, HarvestChoice team member Kate Sebastian presented the not-so-sneak preview of the Atlas of African Agriculture Research and Development.

Jun 18, 2012 by Cindy Cox

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.

May 14, 2012 by Cindy Cox

Fueled by a commitment to help society, agriculture is on Esri's mind. In fact, the World Bank asked them to write about it for FARMD: The Forum for Agricultural Risk Management in Development. And what did Esri –The global leader in Geographic Information System (GIS) software and geodatabase management applications – write about? HarvestChoice!

Apr 3, 2012 by Cindy Cox

Whether you work directly with spatial data or simply reap the benefits by tapping into mapped data products, you’ve probably heard of Esri.

Sep 17, 2010 by Jawoo Koo

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.

Layered information on a grid cell

Aug 17, 2010 by Zhe Guo

The port shed is the total area surrounding each port for which that port has the lowest cost in terms of travel time. Travel time was estimated based on the combination of different spatial data layers, or variables, which affect the time required to travel across to the given points (i.e. cities).

Aug 17, 2010 by Zhe Guo

This surface divides sub-Saharan Africa into market sheds by measuring the nearest city or ‘market’ with a population of 20,000; 50,000; 100,000; 250,000; and 500,000 respectively. Nearness is determined by measuring the least accumulated ‘cost’ or travel time to each market center. The market shed is the total area surrounding each market for which that market has the lowest cost in terms of travel time. Travel time was estimated based on the combination of different spatial data layers, or variables, which affect the time required to travel across to the given points (i.e. cities). Market shed data can be used to determine the number of people or households that are more than likely dependent on a given market center (assuming that most people would travel to the closest market for their needs).

Aug 16, 2010 by Zhe Guo

HarvestChoice AgMarketFinder is a web-based geoprocessing GIS application that provides a quick-and-easy access to the spatially-explicit agricultural statistics databases, including crop, livestock, and rural/urban human population. No GIS skill necessary!

AgMarketFinder v2.0