Blog entries filtered by: Markets
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.
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!
Whether you work directly with spatial data or simply reap the benefits by tapping into mapped data products, you’ve probably heard of Esri.
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.
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).
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).
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!
HarvestChoice Labs uses ESRI ArcGIS Server as a web-based spatial data sharing/exploration platform. This post presents a quick example application using Port Sheds dataset.
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).
The travel time maps indicate the degree of accessibility from a pixel to a populated place. The patterns shown here describe the geographic accessibility between places in Sub-Saharan Africa. We define accessibility as the time in hours required to travel from a given single point (1x1km pixel) to the nearest market center. Travel time to market centers is used as a proxy for market accessibility and shows the likely extent to which farming households are physically integrated with or isolated from markets.