Sep 17, 2010 by Jawoo Koo - 0 comments

Layered information on a grid cell

Many of HarvestChoice spatial datasets are organized and released on 10-km grids. To make spatial analyses easier for researchers (even without having access to GIS platform), we put data layers from multiple themes together in one denormalized big table. This post describes the methodology and presents a prototype.

Tags: Africa, Agroecology, Banana / Plantain, Barley, Bean, Cassava, Cattle, Cereals, Climate, Coffee, Cotton, Crop Area, Crops, Groundnut, Infrastructure and Transportation, Livestock, Livestock Production, Market Access, Markets, Models, Population, Population, Rainfall, Spatial Analysis, Spatial Production Allocation Model (SPAM), Spatial Resolution, Sub-Saharan Africa, Sugar Cane, Time of Travel, Weather, Weather and Climate, Fibres, Goats, Maize, Market Access, Potato, Soybean, Fruits, Land Cover , Millet, Sweet Potato / Yam, Oil-Bearing Crops, Rice, Production, Pulses, Sheep, Sorghum, Demographics, Roots & Tubers, Wheat, Stimulant Crops, Sugar Crops & Sweeteners, Farming, Markets, Animals

Aug 10, 2010 by Jawoo Koo - 0 comments

HCADMIN 1.0

Many of HarvestChoice’s spatial analyses are done using raster datasets at various spatial resolutions (e.g., 1 km, 10 km, or 50 km grids).

Aug 6, 2010 by Jawoo Koo - 0 comments

To facilitate the exchange of HarvestChoice-developed datasets and analysis results with broader geospatial community, a standard/systematic global grid database was developed for multiple spatial resolutions (from 1 degree to 30 arc-second). The new grid database, called HCID, can be used as a key identifier that links and harmonizes various themes of raster datasets as well as aggregates them even at multiple resolutions. This can be helpful not only for GIS analysts but also for researchers who would need to handle the datasets in relational database management systems.

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