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Part 1: Document Description
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Citation |
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Title: |
Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0 |
Identification Number: |
doi:10.7910/DVN/PRFF8V |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2019-01-04 |
Version: |
4 |
Bibliographic Citation: |
International Food Policy Research Institute (IFPRI), 2019, "Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0", https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V4 |
Citation |
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Title: |
Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0 |
Subtitle: |
Spatial Production Allocation Model (SPAM) 2010 |
Alternative Title: |
MapSPAM 2010 |
Identification Number: |
doi:10.7910/DVN/PRFF8V |
Authoring Entity: |
International Food Policy Research Institute (IFPRI) |
Other identifications and acknowledgements: |
You, Liangzhi (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
You, Liangzhi (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
Guo, Zhe (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
Wood-Sichra, Ulrike (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
Wood-Sichra, Ulrike (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
Ru, Yating (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
Jeon, Seong-Min (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
Spatial Data and Analytics Theme |
Other identifications and acknowledgements: |
Koo, Jawoo (International Food Policy Research Institute (IFPRI)) |
Other identifications and acknowledgements: |
CGIAR Platform for Big Data in Agriculture |
Other identifications and acknowledgements: |
CGIAR Research Program on Policies, Institutions, and Markets |
Other identifications and acknowledgements: |
USAID Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification (AID-OAA-L-14-00006) |
Other identifications and acknowledgements: |
USAID Feed the Future Innovation Lab for Small Scale Irrigation (AID-OAA-A-13-0005) |
Producer: |
International Food Policy Research Institute |
Date of Production: |
2019-10-09 |
Grant Number: |
OPPGD1450 |
Grant Number: |
OPPGD1450 |
Grant Number: |
OPPGD1450 |
Distributor: |
Harvard Dataverse |
Distributor: |
International Food Policy Research Institute |
Access Authority: |
Guo, Zhe |
Access Authority: |
You, Liangzhi |
Access Authority: |
Koo, Jawoo |
Depositor: |
Koo, Jawoo |
Date of Deposit: |
2019-10-09 |
Date of Distribution: |
2019 |
Series Name: |
Geospatial Data |
Holdings Information: |
https://doi.org/10.7910/DVN/PRFF8V |
Study Scope |
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Keywords: |
Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences, statistics, plant production, spatial distribution, spatial database |
Topic Classification: |
Food security, Agricultural production, Geographical information systems |
Abstract: |
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 grid-scape 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. |
Time Period: |
2009-01-01-2011-12-31 |
Geographic Unit(s): |
5 arc-minute grid cell |
Kind of Data: |
spatial data |
Notes: |
For more information and data download options, please visit the MapSPAM website at https://mapspam.info. Funding support for MapSPAM was provided by CGIAR Platform for Big Data in Agriculture, CGIAR Research Program on Policies, Institutions, and Markets (PIM), The Bill and Melinda Gates Foundation, NASA Harvest (https://nasaharvest.org), USAID Feed the Future Innovation Lab for Small Scale Irrigation (https://ilssi.tamu.edu), USAID Feed the Future Innovation Lab for Sustainable Intensification (https://www.k-state.edu/siil), and Macro Agriculture Research Institute (http://mari.hzau.edu.cn). |
Methodology and Processing |
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Sources Statement |
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Data Sources: |
Subnational agricultural production statistics data |
Data Access |
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Notes: |
<h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. |
Other Study Description Materials |
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Related Studies |
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<a href="https://doi.org/10.7910/DVN/SWPENT">Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0.0</a> |
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</p><a href="https://doi.org/10.7910/DVN/FSSKBW">Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017</a> |
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</p> <a href="https://doi.org/10.7910/DVN/DHXBJX">Global Spatially-Disaggregated Crop Production Statistics Data for 2005 Version 3.2</a> |
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</p> <a href="https://doi.org/10.7910/DVN/A50I2T">Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7</a> |
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Related Publications |
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Citation |
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Title: |
Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010: 2. the global gridded agricultural production maps, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-11, in review, 2020. |
Identification Number: |
10.5194/essd-2020-11 |
Bibliographic Citation: |
Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010: 2. the global gridded agricultural production maps, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-11, in review, 2020. |
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ReadMe_v2r0_Global.txt |
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text/plain |
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spam2010v2r0_global_harv_area.csv.zip |
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spam2010v2r0_global_harv_area.dbf.zip |
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spam2010v2r0_global_harv_area.geotiff.zip |
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spam2010v2r0_global_phys_area.csv.zip |
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spam2010v2r0_global_phys_area.dbf.zip |
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spam2010v2r0_global_phys_area.geotiff.zip |
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spam2010v2r0_global_prod.csv.zip |
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spam2010v2r0_global_prod.dbf.zip |
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spam2010v2r0_global_prod.geotiff.zip |
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spam2010v2r0_global_val_prod_agg.csv.zip |
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spam2010v2r0_global_val_prod_agg.dbf.zip |
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spam2010v2r0_global_val_prod_agg.geotiff.zip |
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spam2010v2r0_global_yield.csv.zip |
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application/zip |
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spam2010v2r0_global_yield.dbf.zip |
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application/zip |
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spam2010v2r0_global_yield.geotiff.zip |
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application/zip |