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CELL5M: A geospatial database of agricultural indicators for Africa South of the Sahara.


ABSTRACT: Recent progress in large-scale georeferenced data collection is widening opportunities for combining multi-disciplinary datasets from biophysical to socioeconomic domains, advancing our analytical and modeling capacity. Granular spatial datasets provide critical information necessary for decision makers to identify target areas, assess baseline conditions, prioritize investment options, set goals and targets and monitor impacts. However, key challenges in reconciling data across themes, scales and borders restrict our capacity to produce global and regional maps and time series. This paper provides overview, structure and coverage of CELL5M-an open-access database of geospatial indicators at 5 arc-minute grid resolution-and introduces a range of analytical applications and case-uses. CELL5M covers a wide set of agriculture-relevant domains for all countries in Africa South of the Sahara and supports our understanding of multi-dimensional spatial variability inherent in farming landscapes throughout the region.

SUBMITTER: Koo J 

PROVIDER: S-EPMC5105882 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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CELL5M: A geospatial database of agricultural indicators for Africa South of the Sahara.

Koo Jawoo J   Cox Cindy M CM   Bacou Melanie M   Azzarri Carlo C   Guo Zhe Z   Wood-Sichra Ulrike U   Gong Queenie Q   You Liangzhi L  

F1000Research 20161010


Recent progress in large-scale georeferenced data collection is widening opportunities for combining multi-disciplinary datasets from biophysical to socioeconomic domains, advancing our analytical and modeling capacity. Granular spatial datasets provide critical information necessary for decision makers to identify target areas, assess baseline conditions, prioritize investment options, set goals and targets and monitor impacts. However, key challenges in reconciling data across themes, scales a  ...[more]

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