An entropy approach to spatial disaggregation of agricultural production

You, Liangzhi and Wood, Stanley (2006) An entropy approach to spatial disaggregation of agricultural production. Agricultural Systems, 90 (1-3). 329-347 .

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While agricultural production statistics are reported on a geopolitical – often national – basis we often need to know the status of production or productivity within specific subregions, watersheds, or agroecological zones. Such re-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to making spatially disaggregated assessments of the distribution of crop production. Using this approach, tabular crop production statistics are blended judiciously with an array of other secondary data to assess the production of specific crops within individual ‘pixels’ – typically 25–100 square kilometers in size. The information utilized includes crop production statistics, farming system characteristics, satellite-derived land cover data, biophysical crop suitability assessments, and population density. An application is presented in which Brazilian state level production statistics are used to generate pixel level crop production data for eight crops. To validate the spatial allocation we aggregated the pixel estimates to obtain synthetic estimates of municipality level production in Brazil, and compared those estimates with actual municipality statistics. The approach produced extremely promising results. We then examined the robustness of these results compared to short-cut approaches to allocating crop production statistics and showed that, while computationally intensive, the cross-entropy method does provide more reliable estimates of crop production patterns.

Item Type: Article
Author Affiliation: International Food Policy Research Institute, 2033 K Street, NW, Washington, DC 20006, USA
Subjects: Plant Production
Social Sciences > Agricultural Economics
Divisions: General
Depositing User: Sandhya Gir
Date Deposited: 21 Apr 2011 08:54
Last Modified: 21 Apr 2011 09:14
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