Aug 25, 2014 by Liangzhi You

In the era of big data, unmanned drones, and satellite remote sensing, our knowledge of crop growing locations remains surprisingly limited. We have even less information on crop yields that vary from plot to plot. While some developed countries have started to map their crops, most developing countries have no such capacity. Information on the distribution and performance of specific crops is therefore mostly available through national or sub-national statistics, which are often too general for a focused analysis. 

Jul 22, 2014 by Ulrike Wood-Sichra

Until recently we at HarvestChoice had no idea that people live in NUTS. Within the European Union they have switched from administrative entities as the unit of statistical reporting for each country to sub-divisions, or what they call NUTS. What does this have to do with HarvestChoice? SPAM 2005, one of its flagship products, needs to know the statistical reporting unit in each country for accurate spatial allocation of crop production around the globe.

Jul 17, 2014 by Ulrike Wood-Sichra

Characterizing global production systems just got easier. IFPRI/HarvestChoice has updated SPAM, from circa 2000 to centering on the year 2005. That’s right; SPAM 2005 is out for release and freely available to the public. That means more accurate and up-to-date spatially disaggregated crop production statistics and more of it.

Jul 16, 2014 by Ulrike Wood-Sichra

Capturing the heterogeneity of VoP (Value of Production) across sub-Saharan Africa in a spatially explicit way is another example of what we do at HarvestChoice. Because informed decision making in agricultural development doesn't just rely on knowledge of important indicators, but a geographical context of where.

Aug 15, 2013 by Ulrike Wood-Sichra

It may get stuck in your junk folder, confused with a tin of mysterious food, or buried in a Google search (try adding a few more key terms), but for now the name sticks (and sticks in your memory); SPAM (Spatial Production Allocation Model) is not getting a new name anytime soon. That’s just one of the items key players discussed at a recent SPAM workshop.

Jul 16, 2012 by Susana Crespo

Picture it. You're working at HarvestChoice processing incoming crop statistics and you come across some figures for harvested area of dolichos in Kenya.

Jun 25, 2012 by Cindy Cox

A group of researchers from the University of Nebraska and Wageningen University are setting out to determine just that through the production of an atlas.

Feb 11, 2012 by Ulrike Wood-Sichra

SPAM2000 (any version) is based on a large set of data which centers as much as possible on the year 2000: land cover / land use (Boston University’s MODIS-derived land cover 2000 and JRC’s GLC2000), crop suitability (Global AEZ Zones 2000 by FAO and IIASA), irrigated areas (FAO and CESR of University of Kassel), population density (CIESIN), and, most importantly, national and sub-national crops statistics for 2000.

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