An entropy approach to spatial disaggregation of agricultural production
AbstractNo abstract is available for this item.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Agricultural Systems.
Volume (Year): 90 (2006)
Issue (Month): 1-3 (October)
Contact details of provider:
Web page: http://www.elsevier.com/locate/agsy
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tomoki Nakaya, 2000. "An information statistical approach to the modifiable areal unit problem in incidence rate maps," Environment and Planning A, Pion Ltd, London, vol. 32(1), pages 91-109, January.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- You, Liangzhi & Wood, Stanley, 2004. "Assessing the spatial distribution of crop production using a generalized cross-entropy approach:," EPTD discussion papers 126, International Food Policy Research Institute (IFPRI).
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.