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TECHNOLOGY Mapping African Agriculture A wealth of data comes online MAIZE PRODUCTION (MILLIONS OF METRIC TONS)


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POPULATION DENSITY


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ARID


SEMI-ARID SEMI-HUMID


HUMID


TROPICAL HIGHLANDS


LAYER BY LAYER HarvestChoice’s MAPPR tool can present many layers of data at once. The map shows five agroecological zones of Sub-Saharan Africa and areas of high and low population density within them. The graph shows total maize production in those areas. Pro- duction is highest in areas with low population density.


D


ata of all kinds are notoriously scarce for Sub-Saharan Africa,


and geospatial data—that is, maps—on agriculture, poverty, and the environment are no exception. Te IFPRI researchers in HarvestChoice, a joint program with the University of Minnesota, have therefore been busy generating new spatial data, harmonizing them with data compiled from a range of other sources, and making the entire collection available at a single website (www.harvestchoice.org), along with tools for exploring the information in creative ways.


In addition to being scarce, data to support agricultural policy and investment decisions in Sub-Saharan Africa have typically been too “coarse”—available only on a national or regional scale. “But there’s actually lots of variation within countries in terms of the environment, farming practices, and market opportunities,” says Stanley Wood, the leader of the HarvestChoice team at


IFPRI. Rainfall, soil fertility, and access to infrastructure, for example, may be quite different for communities separated by just a few kilometers. “At a finer scale,” he says, “you pick up more of the real-world vari- ability that farmers and would-be service providers face.”


To better reveal the spatial distribution and patterns of farming in Sub-Saharan Africa, HarvestChoice created MAPPR, a tool for interacting with the core collec- tion of detailed, high-resolution maps cov- ering all aspects of agricultural production. MAPPR divides the continent into 10-ki- lometer by 10-kilometer squares, allowing users to home in on any one of 300,000 squares or to summarize indicator values for all squares in a specified watershed, agroecological zone, or market area. Tere are currently map layers for more than 100 indicators, including population density, poverty, rainfall, crop harvested areas, and travel time to market. MAPPR allows


users to combine indicators from multiple layers to produce customized maps, charts, and tables.


Using MAPPR, a policymaker can identify regions of a country with high concen- trations of both poverty and cropland, or an investor thinking about building a food-processing plant can search for loca- tions that combine production of sufficient quantities of a particular crop with good access to markets.


Besides maps and mapping tools, the Har- vestChoice website provides datasets, work- ing papers, presentations, and spatial and economic models—all at no cost. “We’ve built a hub of data and compatible tools,” says Wood, “so that practitioners every- where can leverage our resources to better inform their own policy and investment priority setting and decisionmaking.”


– Cindy Cox & Susan Buzzelli Tonassi 7


© 2005 D. Telemans/Panos


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