EconPapers    
Economics at your fingertips  
 

Generating high-resolution national crop distribution maps: Combining statistics, gridded data and surveys using an optimization approach

Michiel Van Dijk (), Liangzhi You, P. Havlik, A. Palazzo and A. Mosnier

No 276038, 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia from International Association of Agricultural Economists

Abstract: Detailed information on the location and size of crop area is essential for the assessment of agricultural production, food security and emissions resulting from land use change. Although, there exist several initiatives to produced spatially explicit crop distribution maps, these are generally too coarse for detailed country assessments, which require high resolution spatial maps. Using Malawi as a case-study and building on the Spatial Production Allocation Model (You et al. 2014), this paper presents an approach to produce high resolution crop distribution maps that incorporate all available information, including subnational agricultural statistics, crop specific land use information and national irrigation surveys.

Keywords: Agricultural and Food Policy; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 10
Date: 2018-07
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/276038/files/2058.pdf (application/pdf)

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:ags:iaae18:276038

DOI: 10.22004/ag.econ.276038

Access Statistics for this paper

More papers in 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia from International Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:iaae18:276038