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Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy
- Land Economics
- University of Wisconsin Press
- Volume 85, Number 2, May 2009
- pp. 238-251
- Article
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We propose a spatial disaggregation tool to help researchers make the best use of aggregated data in studies of land use. The proposed approach uses parcel-level agricultural data in conjunction with biophysical processes to break down agricultural regional data to the pixel level. It is a two-step procedure. First, we estimate a land-use model using a multinomial logit model. Second, we disaggregate the observed regional data using a generalized cross-entropy approach, taking the first-step predictions as priors. This procedure is applied to the French Picardie region. Results indicate a significant correlation between observed and estimated land-use shares.