A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps
Qiangyi Yu,Liangzhi You,Ulrike Wood-Sichra,Yating Ru,Alison K. B. Joglekar,Steffen Fritz,Wei Xiong,Miao Lu,Wenbin Wu,and Peng Yang
Qiangyi Yu
Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of
Agriculture and Rural Affairs/Institute of Agricultural Resources and
Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081,
China
Liangzhi You
Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of
Agriculture and Rural Affairs/Institute of Agricultural Resources and
Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081,
China
International Food Policy Research Institute (IFPRI), Washington DC,
USA
Ulrike Wood-Sichra
International Food Policy Research Institute (IFPRI), Washington DC,
USA
Yating Ru
International Food Policy Research Institute (IFPRI), Washington DC,
USA
Alison K. B. Joglekar
GEMS Agroinformatics Initiative, University of Minnesota, Saint Paul,
Minnesota, USA
International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
Miao Lu
Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of
Agriculture and Rural Affairs/Institute of Agricultural Resources and
Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081,
China
Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of
Agriculture and Rural Affairs/Institute of Agricultural Resources and
Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081,
China
Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of
Agriculture and Rural Affairs/Institute of Agricultural Resources and
Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081,
China
Viewed
Total article views: 19,128 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
13,536
5,370
222
19,128
1,799
270
354
HTML: 13,536
PDF: 5,370
XML: 222
Total: 19,128
Supplement: 1,799
BibTeX: 270
EndNote: 354
Views and downloads (calculated since 20 Mar 2020)
Cumulative views and downloads
(calculated since 20 Mar 2020)
Total article views: 14,649 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
11,109
3,371
169
14,649
1,388
208
289
HTML: 11,109
PDF: 3,371
XML: 169
Total: 14,649
Supplement: 1,388
BibTeX: 208
EndNote: 289
Views and downloads (calculated since 21 Dec 2020)
Cumulative views and downloads
(calculated since 21 Dec 2020)
Total article views: 4,479 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,427
1,999
53
4,479
411
62
65
HTML: 2,427
PDF: 1,999
XML: 53
Total: 4,479
Supplement: 411
BibTeX: 62
EndNote: 65
Views and downloads (calculated since 20 Mar 2020)
Cumulative views and downloads
(calculated since 20 Mar 2020)
Viewed (geographical distribution)
Total article views: 19,128 (including HTML, PDF, and XML)
Thereof 17,871 with geography defined
and 1,257 with unknown origin.
Total article views: 14,649 (including HTML, PDF, and XML)
Thereof 13,804 with geography defined
and 845 with unknown origin.
Total article views: 4,479 (including HTML, PDF, and XML)
Thereof 4,067 with geography defined
and 412 with unknown origin.
SPAM makes plausible estimates of crop distribution within disaggregated units. It moves the data from coarser units such as countries and provinces to finer units such as grid cells and creates a global gridscape at the confluence between earth and agricultural-production systems. It improves spatial understanding of crop production systems and allows policymakers to better target agricultural- and rural-development policies for increasing food security with minimal environmental impacts.
SPAM makes plausible estimates of crop distribution within disaggregated units. It moves the...
