Generating Plausible Crop Distribution and Performance Maps for Sub-Saharan Africa Using a Spatially Disaggregated Data Fusion and Optimization Approach

Spatial Production Allocation Model (SPAM), developed by International Food Policy Research Institute (IFPRI), is one of broadest spatial models that applied a cross-entropy method to downscale the area and yield for each crop with a resolution of 5 arc minute globally for the year 2000 and 2005.To evaluate the accuracy of three staple crops (rice, wheat and maize) in China allocated by SPAM, we compared these crop maps with remote sensed cropland derived from national land cover datasets. This is done through a comparison scheme that accounts for spatial difference at the pixel level. Four types (no-existing, mis-allocated, over-estimated and reasonable) were formulated in this scheme that was used to evaluate the per-pixel area accuracy of each of the three crops on national and provincial scales. Overall, the map of maize has the highest area accuracy with a 64% percentage of reasonable pixels that covers 96% of the total maize area, in contrast, 57% (90%) and 44% (81%) for the wheat and rice map respectively. Further, crop area consistency in rain-fed cropland is better than that in irrigated cropland. Through the evaluations, we can provide decision makers with information on the SPAM products exist as well as the strengths and weaknesses. Meanwhile, some recommendations can be concluded on priorities for further work on the improvement of the reliability, utility and periodic repeatability of crop distribution products.

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Identifying spatial efficiency-equity tradeoffs in territorial development policies: evidence from Uganda

Lall¹,

Schroeder²,

Schmidt³

2009

Policy Research Working Papers

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We contribute to the debate on the spatial allocation of infrastructure investments by examining where these investments generate the highest economic return ("spatial efficiency"), and identifying tradeoffs when infrastructure coverage is made more equitable across regions ("spatial equity"). We estimate models of firm location choice in Uganda, drawing on insights from the new economic geography literature. The main findings show that manufacturing firms gain from being in areas that offer a diverse mix of economic activities. Public infrastructure investments in other locations are likely to attract fewer private investors, and will pose a spatial efficiency-equity tradeoff.

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Generating Plausible Crop Distribution and Performance Maps for Sub-Saharan Africa Using a Spatially Disaggregated Data Fusion and Optimization Approach

Cited by 20 publications

References 47 publications

Water Policy Making: What Other Developing Economies Can Learn From India

Water Policy Making: What Other Developing Economies Can Learn From India

Spatial evaluation of crop maps by spatial production allocation model in China

Identifying spatial efficiency-equity tradeoffs in territorial development policies: evidence from Uganda

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