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Spatial downscaling of agricultural land use data: an econometric approach using cross-entropy

Abstract : 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.
Keywords : ENTROPIE CROISEE
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https://hal.archives-ouvertes.fr/hal-01172899
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Submitted on : Tuesday, July 7, 2015 - 8:04:34 PM
Last modification on : Tuesday, June 15, 2021 - 2:57:01 PM

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Raja Chakir. Spatial downscaling of agricultural land use data: an econometric approach using cross-entropy. Land Economics, University of Wisconsin Press, 2009, 85 (2), pp.238-251. ⟨hal-01172899⟩

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