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Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy

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  • Raja Chakir

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.

Suggested Citation

  • Raja Chakir, 2009. "Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy," Land Economics, University of Wisconsin Press, vol. 85(2), pages 238-251.
    • Handle: RePEc:uwp:landec:v:85:y:2009:i:2:p:238-251
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    References listed on IDEAS

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    More about this item

    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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