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Registros recuperados: 6
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Generating Global Crop Distribution Maps: From Census to Grid AgEcon
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike.
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. This paper proposes a spatial allocation model for generating highly disaggregated, crop-specific production data by a triangulation of any and all relevant background and partial information. This includes national or sub-national crop production statistics, satellite data on land cover, maps of irrigated areas, biophysical crop suitability assessments, population density, secondary data on irrigation and rainfed production systems, cropping intensity, and crop prices....
Tipo: Conference Paper or Presentation Palavras-chave: Global; Cross entropy; Satellite image; Spatial allocation; Agricultural production; Crop suitability; Crop Production/Industries; C6; Q15; Q24.
Ano: 2006 URL: http://purl.umn.edu/25737
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What is the irrigation potential for Africa? A Combined Biophysical and Socioeconomic Approach AgEcon
You, Liangzhi; Ringler, Claudia; Nelson, Gerald C.; Wood-Sichra, Ulrike; Robertson, Richard D.; Wood, Stanley; Guo, Zhe; Zhu, Tingju; Sun, Yan.
Although irrigation in Africa has the potential to boost agricultural productivities by at least 50 percent, food production on the continent is almost entirely rainfed. The area equipped for irrigation, currently slightly more than 13 million hectares, makes up just 6 percent of the total cultivated area. Eighty-five percent of Africa’s poor live in rural areas and mostly depend on agriculture for their livelihoods. As a result, agricultural development is key to ending poverty on the continent. Many development organizations have recently proposed to significantly increase investments in irrigation in the region. However, the potential for irrigation investments in Africa is highly dependent upon geographic, hydrologic, agronomic, and economic factors...
Tipo: Working or Discussion Paper Palavras-chave: Irrigation potential; Internal rate of return; Large-scale irrigation; Small-scale irrigation; Investment; Africa; International Development; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/93736
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Generating Plausible Crop Distribution and Performance Maps for Sub-Saharan Africa Using a Spatially Disaggregated Data Fusion and Optimization Approach AgEcon
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike.
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. Large gaps exist in our knowledge of the current geographic distribution and spatial patterns of crop performance, and these gaps are unlikely to be filled in the near future. Regardless, the spatial scale of many sub-national statistical reporting units remains too coarse to capture the...
Tipo: Working or Discussion Paper Palavras-chave: Sub-Saharan Africa; Cross-entropy; Satellite image; Spatial allocation; Agricultural production; Crop suitability; Crop Production/Industries.
Ano: 2007 URL: http://purl.umn.edu/42374
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Generating global crop distribution maps: from census to grid AgEcon
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike.
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. This paper proposes a spatial allocation model for generating highly disaggregated, crop-specific production data by a triangulation of any and all relevant background and partial information. This includes national or sub-national crop production statistics, satellite data on land cover, maps of irrigated areas, biophysical crop suitability assessments, population density, secondary data on irrigation and rainfed production systems, cropping intensity, and crop prices....
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/21299
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Strategic priorities for agricultural development in Eastern and Central Africa AgEcon
Omamo, Steven Were; Diao, Xinshen; Wood, Stanley; Chamberlin, Jordan; You, Liangzhi; Benin, Samuel; Wood-Sichra, Ulrike; Tatwangire, Alex.
In countries that are heavily dependent on agriculture for employment and income, underperformance is not only untenable but also potentially explosive. This is the case in the countries of eastern and central Africa—Burundi, Democratic Republic of Congo, Eritrea, Ethiopia, Kenya, Madagascar, Rwanda, Sudan, Tanzania, and Uganda—where tens of millions of people face ongoing poverty, hunger, and malnutrition. This report, the result of a two-year collaboration between the International Food Policy Research Institute and the Association for Strengthening Agricultural Research in Eastern and Central Africa, identifies how eastern and central African countries can stimulate agricultural growth to address these dire circumstances. The findings suggest that...
Tipo: Report Palavras-chave: Agriculture; Economic aspects; Africa; Eastern; Central; Agricultural development projects; International Development.
Ano: 2006 URL: http://purl.umn.edu/37881
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GENERATING PLAUSIBLE CROP DISTRIBUTION MAPS FOR SUB-SAHARA AFRICA USING SPATIAL ALLOCATION MODEL AgEcon
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike.
Spatial data, which are data that include the coordinates (either by latitude/longitude or by other addressing methods) on the surface of the earth, are essential for agricultural development. As fundamental parameters for agriculture policy research agricultural production statistics by geopolitical units such as country or sub-national entities have been used in many econometric analyses. However, collecting sub-national data is quite difficult in particular for developing countries. Even with great effort and only on regional scales, enormous data gaps exist and are unlikely to be filled. On the other hand, the spatial scale of even the subnational unit is relatively large for detailed spatial analysis. To fill these spatial data gaps we proposed a...
Tipo: Conference Paper or Presentation Palavras-chave: Sub-Sahara Africa; Cross entropy; Satellite image; Spatial allocation; Agricultural production; Crop suitability; Crop Production/Industries; C60; Q15; Q24.
Ano: 2004 URL: http://purl.umn.edu/19965
Registros recuperados: 6
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