HarvestChoice generates knowledge products to help guide strategic decisions to improve the well-being of the poor in sub-Saharan Africa through more productive and profitable farming. To this end, HarvestChoice has developed and continues to expand upon a spatially explicit, landscape level evaluation framework. HarvestChoice’s evolving list of knowledge products includes maps, datasets, working papers, country briefs, user-oriented tools, and spatial and economic models designed to target the needs of investors, policymakers, and research analysts who are working to improve the food supply of the world's poor http://harvestchoice.org.
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221 to 230 of 249 Results
ZIP Archive - 67.4 KB - MD5: 8e59b8bb5e19f19b6ce536f6f5ea8acb
GIS (GeoTIFF) data files. AEZ 5, AEZ 8, and AEZ 16 classes.
PNG Image - 125.2 KB - MD5: 3dab4696693961dcbd73c61f0f112b13
Image (PNG) file. AEZ 16-class.
PNG Image - 97.3 KB - MD5: f20c0e85fa7342c305b55a10e715f27d
Image (PNG) file. AEZ 5-class.
PNG Image - 105.7 KB - MD5: eb0e58f32c0b5c47923be44a23821ac2
Image (PNG) file. AEZ 8-class.
Oct 16, 2015
HarvestChoice, International Food Policy Research Institute (IFPRI), 2015, "Urban Extent of Africa 2010", https://doi.org/10.7910/DVN/RUNZJD, Harvard Dataverse, V1
Accurate delineation of the urban and rural areas has a broad range of implications on the quality and reliability of agricultural production and socio-economic statistics, design of household survey, establishment of agricultural development strategies and policies, and effective resource allocation. Two most widely-used urban/rural mapping datase...
PNG Image - 39.2 KB - MD5: 30d464a6a4be07a974c173bf74911b9d
Comparison between 2000 (baseline) and the updated urban extent of 2010
ZIP Archive - 569.2 KB - MD5: 1ec3278af53da6d939dc09e94c116e1e
Baseline urban extent of Africa in 2000, extracted from GRUMP v1 (http://sedac.ciesin.columbia.edu/data/collection/grump-v1) [1: rural, 2: urban]
ZIP Archive - 596.5 KB - MD5: 7b7a467d36333ce98b709024342f0fca
Updated urban extent for Africa in 2010 [null: rural, 1: urban]
Oct 15, 2015
International Research Institute for Climate and Society (IRI); Michigan State University (MSU); HarvestChoice, International Food Policy Research Institute (IFPRI), 2015, "Global High-Resolution Soil Profile Database for Crop Modeling Applications", https://doi.org/10.7910/DVN/1PEEY0, Harvard Dataverse, V2
One of the obstacles in applying advanced crop simulation models such as DSSAT at a grid-based platform is the lack of gridded soil input data at various resolutions. Recently, there has been many efforts in scientific communities to develop spatially continuous soil database across the globe. The most representative example is the SoilGrids 1km re...
Shapefile as ZIP Archive - 35.0 MB - MD5: 2e7118c6e56680a614006ebd64cc2209
Point shapefile indicating the centroid of 10 km (5 arc-minute) grids and the corresponding SoilProfileID. There are 1,984,823 points and soil profiles in total, globally.
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