Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7

Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells,...

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Main Author: International Food Policy Research Institute
Format: Conjunto de datos
Language:Inglés
Published: International Food Policy Research Institute 2019
Subjects:
Online Access:https://hdl.handle.net/10568/144498
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author International Food Policy Research Institute
author_browse International Food Policy Research Institute
author_facet International Food Policy Research Institute
author_sort International Food Policy Research Institute
collection Repository of Agricultural Research Outputs (CGSpace)
description Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global gridscape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts
format Conjunto de datos
id CGSpace144498
institution CGIAR Consortium
language Inglés
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher International Food Policy Research Institute
publisherStr International Food Policy Research Institute
record_format dspace
spelling CGSpace1444982024-10-25T07:57:08Z Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7 International Food Policy Research Institute models spatial distribution spatial databases crop production statistics Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global gridscape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts 2019 2024-06-04T09:44:13Z 2024-06-04T09:44:13Z Dataset https://hdl.handle.net/10568/144498 en https://doi.org/10.1016/j.agsy.2008.11.003 Open Access International Food Policy Research Institute International Food Policy Research Institute. 2019. Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/A50I2T. Harvard Dataverse. Version 1.
spellingShingle models
spatial distribution
spatial databases
crop production
statistics
International Food Policy Research Institute
Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
title Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
title_full Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
title_fullStr Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
title_full_unstemmed Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
title_short Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
title_sort global spatially disaggregated crop production statistics data for 2000 version 3 0 7
topic models
spatial distribution
spatial databases
crop production
statistics
url https://hdl.handle.net/10568/144498
work_keys_str_mv AT internationalfoodpolicyresearchinstitute globalspatiallydisaggregatedcropproductionstatisticsdatafor2000version307