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	Provedor de dados AgEcon (3) Autor Wood, Stanley (3) Wood-Sichra, Ulrike (3) You, Liangzhi (3) Palavra-chave Agricultural production (3) Crop Production/Industries (3) Crop suitability (3) Satellite image (3) Spatial allocation (3) Cross entropy (2) Q15 (2) Q24 (2) C6 (1) C60 (1) Cross-entropy (1) Global (1) Sub-Sahara Africa (1) Sub-Saharan Africa (1) Mais... Tipo do documento Conference Paper or Presentation (2) Working or Discussion Paper (1) Ano 2007 (1) 2006 (1) 2004 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última 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 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 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: 3 Primeira ... 1 ... Última

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