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  "conforms_to": "http://www.opengis.net/def/crs/OGC/0/4326", 
            
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  "contact_name": "Liangzhi You (IFPRI), Ulrike Wood-Sichra (IFPRI), 
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  "contact_name": "Liangzhi You (IFPRI), Ulrike Wood-Sichra (IFPRI), 
            
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Jawoo Koo (IFPRI)", 
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Jawoo Koo (IFPRI)", 
            
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  "contact_uri": "https://orcid.org/0000-0001-7930-8814, 
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  "contact_uri": "https://orcid.org/0000-0001-7930-8814, 
            
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https://orcid.org/0000-0002-0546-2074; 
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https://orcid.org/0000-0002-0546-2074; 
            
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https://orcid.org/0000-0003-3424-9229", 
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https://orcid.org/0000-0003-3424-9229", 
            
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pernicus.org/articles/12/3545/2020/essd-12-3545-2020-discussion.html", 
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pernicus.org/articles/12/3545/2020/essd-12-3545-2020-discussion.html", 
            
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  "name": 
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y-disaggregated-crop-production-statistics-data-for-2010-version-2-0", 
            
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  "notes": "\"Using a variety of inputs, IFPRI's Spatial Production 
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  "notes": "\"Using a variety of inputs, IFPRI's Spatial Production 
            
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Allocation Model (SPAM) uses a cross-entropy approach to make 
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Allocation Model (SPAM) uses a cross-entropy approach to make 
            
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plausible estimates of crop distribution within disaggregated units. 
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plausible estimates of crop distribution within disaggregated units. 
            
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Moving the data from coarser units such as countries and sub-national 
31
Moving the data from coarser units such as countries and sub-national 
            
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provinces, to finer units such as grid cells, reveals spatial patterns 
32
provinces, to finer units such as grid cells, reveals spatial patterns 
            
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of crop performance, creating a global grid-scape at the confluence 
33
of crop performance, creating a global grid-scape at the confluence 
            
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between geography and agricultural production systems. Improving 
34
between geography and agricultural production systems. Improving 
            
35
spatial understanding of crop production systems allows policymakers 
35
spatial understanding of crop production systems allows policymakers 
            
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and donors to better target agricultural and rural development 
36
and donors to better target agricultural and rural development 
            
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policies and investments, increasing food security and growth with 
37
policies and investments, increasing food security and growth with 
            
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minimal environmental impacts. (2020-07-14)\" <br> \r\n*Global 
38
minimal environmental impacts. (2020-07-14)\" <br> \r\n*Global 
            
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Spatially-Disaggregated Crop Production Statistics Data for 2010 
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  "theme": "https://inspire.ec.europa.eu/theme/am", 
            
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Statistics Data for 2010 v2.0", 
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Statistics Data for 2010 v2.0", 
            
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  "type": "dataset", 
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r-dmp.geo.tu-dresden.de/dataset/b0e5c26c-7762-4f99-8234-b793ce13d19c", 
            
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