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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231 to 240 of 249 Results
MS Word - 4.8 MB - MD5: c14b3ed394a8bdaf7f7f5e39ab7fe1ab
A HarvestChoice Working Paper drafted by the dataset authors, describing the data sources, methodology, and preliminary data evaluation results compared with other datasets.
ZIP Archive - 304.9 MB - MD5: acfbcfa3ab15cd4d1c1cf23ae8e4d09b
Includes 225 DSSAT Soil Profiles Database files (SOL format). Two-character code in the file name corresponds with the ISO 3166-2 standard country code system. [Lat] and [Long] indicates the centroid coordinates for the corresponding 10 km (5 arc-minute) grid cell.
ZIP Archive - 22.3 MB - MD5: 9b43a4a4c4c63b7c90f6ddeb84c44c26
GeoTiff files visualizing the uncertainties of soil profile data from two sources: spatial variability and variance of the representative value in a given 10 km (5 arc-min) grid cell. See the Working Paper's [Section 3.2. Uncertainty estimation] for details.
May 12, 2015 - IFPRI Dataverse
Sebastian, Kate, 2009, "Agro-ecological Zones of Africa", https://doi.org/10.7910/DVN/HJYYTI, Harvard Dataverse, V2
Agroecological zones (AEZs) are geographical areas exhibiting similar climatic conditions that determine their ability to support rainfed agriculture. At a regional scale, AEZs are influenced by latitude, elevation, and temperature, as well as seasonality, and rainfall amounts and distribution during the growing season. The resulting AEZ classifica...
MS Excel Spreadsheet - 19.9 KB - MD5: 0a36be21d844d3997eba42d63fb1303f
2. Data
This file provides a list of AEZ classes and explanation for their construct.
MS Word - 55.5 KB - MD5: 5b8944375b1f9dac7780e66715f7433a
2. Data
The file documents and explains the rules and methodology used to create the AEZ surface for Africa.
ZIP Archive - 1.4 MB - MD5: 8618dd41d8afcd3b00d654dd45354b98
2. Data
This is a zipped ESRI ascii file for newly created (2009) agroecological zones for Africa. Resolution = 0.00833dd (approx. 1 km). This surface was created using WorldClim climate data and 0.0833dd resolution LGP data from IIASA.
Unknown - 8.0 KB - MD5: 36de0aabe1d835292461231caa559681
2. Data
This is a layer file associated with 003_afr-aez_09.zip.
PNG Image - 261.1 KB - MD5: d0492caf47856029f92d1b6ff6a1e878
2. Data
This is an image map file generated using this data.
Plain Text - 599 B - MD5: 2099aafacd0fb0ebe9c691333bfc04eb
2. Data
This file describes the legend used in the dataset.
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