Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy
AbstractWe 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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Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Land Economics.
Volume (Year): 85 (2009)
Issue (Month): 2 ()
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Web page: http://le.uwpress.org/
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
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