Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy
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.
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- Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2006.
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- Plantinga, Andrew J. & Ahn, Soeun, 2002. "Efficient Policies For Environmental Protection: An Econometric Analysis Of Incentives For Land Conversion And Retention," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(01), pages -, July.
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- Andrew J. Plantinga, 1996. "The Effect of Agricultural Policies on Land Use and Environmental Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1082-1091.
- Carmen Carrión-Flores & Elena G. Irwin, 2004. "Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 889-904.
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