3iSolution

The Ethiopia Market Center dataset provides comprehensive information on market centers across Ethiopia. It includes spatial data that outlines the locations and attributes of these centers, facilitating analyses related to trade, commerce, and economic planning. Detailed information in Ethiopia Market Center

This dataset includes the spatial locations of health facilities across Ethiopia, along with their associated attribute information.

[Initial analysis] The database contains information about buildings identified by Google outside of settlements recognized by GRID3. It serves as a proxy for identifying potential new settlements or areas of urban growth. The analysis incorporates two levels of clustering: one at a distance of 500 meters and another at 100 meters. The 500-meter clustering helps identify broader areas where multiple buildings are concentrated, potentially indicating the presence of a new settlement or an expansion of an existing one. This distance threshold allows for the initial identification of potential new settlement areas. The 100-meter clustering provides a more granular view, highlighting tighter clusters of buildings within the broader 500-meter areas. This finer level of clustering aids in distinguishing individual settlement units or neighborhoods within the larger potential settlement areas. By combining these two levels of clustering, the database facilitates a comprehensive analysis of potential new settlements or urban growth areas. It enables researchers, urban planners, and policymakers to identify and prioritize areas for further investigation, resource allocation, or development planning.

The GRID3 ETH - Settlement Extents v3.0 consists of a geographic representation of settlements in Ethiopia. Data inputs and methodology are described in data release notes available at GRID3 ETH - Settlement Extents v3.0 3iS has enhanced the settlement dataset by integrating administrative attributes from a shapefile at the Admin 3 level. This process involved associating settlements with the corresponding administrative divisions, including the following attributes: Admin 1 (Region) Names and P-codes: Identifying the broader regions where settlements are located. Admin 2 (Zone) Names and P-codes: Associating zones within regions to each settlement. Admin 3 (Woreda) Names and P-codes: Providing detailed locality-level information.

Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science. This large-scale open dataset contains the outlines of buildings derived from high-resolution satellite imagery in order to support these types of uses. For each building in this dataset we include the polygon describing its footprint on the ground, a confidence score indicating how sure we are that this is a building, and a Plus Code corresponding to the centre of the building. There is no information about the type of building, its street address, or any details other than its geometry. More information at Google Open Buildings