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

Raja Chakir

Land Economics, 2009, vol. 85, issue 2, 238-251

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.

JEL-codes: C11 C81 Q12 R14 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)

Downloads: (external link)
http://le.uwpress.org/cgi/reprint/85/2/238
A subscription is required to access pdf files. Pay per article is available.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uwp:landec:v:85:y:2009:i:2:p:238-251

Access Statistics for this article

More articles in Land Economics from University of Wisconsin Press
Bibliographic data for series maintained by ().