Lablab, Egyptian Bean or Pulse? Reclassifying Crops for SPAM Conformity

Picture it. You're working at HarvestChoice processing incoming crop statistics and you come across some figures for harvested area of dolichos in Kenya.

Generating Global Crop Distribution Maps: From Census to Grid

View Publication

Publishing Details

Publication Type: 
Conference Paper
Authored by:
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike
Publication Year: 
2006
Conference Title: 
International Association of Agricultural Economists 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia
Pages: 
16

Abstract

In order to evaluate food security, technology potential and the environmental impacts of production in a strategic and regional context, it is critical to have reliable information on the spatial distribution and coincidence of people, agricultural production, and environmental services.

An Entropy Approach to Spatial Disaggregation of Agricultural Production

View Publication

Publishing Details

Publication Type: 
Journal Article
Authored by:
You, Liangzhi; Wood, Stanley
Publication Date: 
October 2006
Journal Title: 
Agricultural Systems
Journal Volume: 
90
Journal Issue: 
1-3
Page Range: 
329-347
ISSN: 
0308-521X
DOI: 
http://dx.doi.org/10.1016/j.agsy.2006.01.008

Generating Plausible Crop Distribution and Performance Maps for Sub-Saharan Africa Using a Spatially Disaggregated Data Fusion and Optimization Approach

View Publication

Publishing Details

Publication Type: 
Report
Authored by:
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike
Publisher: 
International Food Policy Research Institute (IFPRI)
Publication Date: 
October 2007
Series: 
IFPRI Discussion Paper 00725
Pages: 
56
Publication Place: 
Washington DC

Abstract

Agricultural production statistics reported at country or sub-national geopolitical scales are used in a wide range of economic analyses, and spatially explicit (geo-referenced) production data are increasingly needed to support improved approaches to the planning and implementation of agricultural development. However, it is extremely challenging to compile and maintain collections of sub-national crop production data, particularly for poorer regions of the world.

Yield Target and Poverty Reduction Model for South Asia

View Tool
Yield Target and Poverty Reduction Model for South Asia

Publishing Details

Tool Type: 
Model
Publication Year: 
2011
Publisher: 
HarvestChoice/International Food Policy Research Institute (IFPRI)
Years Covered: 
2010 - 2030
Lowest Geographic Unit: 
Country

Abstract

Comparative static model used to estimate long-term aggregate potential yield gains and aggregate potential poverty reduction effects from narrowing yield gaps for selected commodities in selected regions. The model allows for differentiated yield gap closure and technology adoption scenarios in focus and non-focus countries and for focus and non-focus crops. The model also accounts for varying "poverty-productivity" elasticities across commodities (a synthetic measure linking productivity gains and poverty reduction).

Download: 
application/zip iconYieldTargetSA-Live_v5.zip

Spatial Allocation of Agricultural Production

SPAM2000 (any version) is based on a large set of data which centers as much as possible on the year 2000: land cover / land use (Boston University’s MODIS-derived land cover 2000 and JRC’s GLC2000), crop suitability (Global AEZ Zones 2000 by FAO and IIASA), irrigated areas (FAO and CESR of University of Kassel), population density (CIESIN), and, most importantly, national and sub-national crops statistics for 2000.

Generating Plausible Crop Distribution Maps for Sub-Saharan Africa Using a Spatially Disagreggated Data Fusion and Optimization Approach

View Publication

Publishing Details

Publication Type: 
Journal Article
Authored by:
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike
Publication Date: 
February, 2009
Journal Title: 
Agricultural Systems
Journal Volume: 
99
Journal Issue: 
2-3
Page Range: 
126-140
DOI: 
10.1016/j.agsy.2008.11.003

Abstract

Large gaps exist in our knowledge of the current geographic distribution and spatial patterns of performance of crops, and these gaps are unlikely to be filled.

Generating Plausible Crop Distribution Maps for Sub-Saharan Africa Using a Spatial Allocation Model

View Publication

Publishing Details

Publication Type: 
Journal Article
Authored by:
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike; Chamberlin, Jordan
Publication Date: 
May, 2007
Journal Title: 
Information Development
Journal Volume: 
23
Journal Issue: 
2-3
Page Range: 
151-159
ISSN: 
1741-6469
DOI: 
10.1177/0266666907078670

Abstract

Agricultural production statistics are fundamental parameters for agriculture policy research.

Syndicate content