This dataverse is summarising the results of the geospatial analysis conducted to support the paper "Increasing energy self-sufficiency for health facilities in Ghana through solar power - a geospatial-supported energy system modelling approach"
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1 to 3 of 3 Results
Mar 9, 2023
Cader, Catherina; Andrade, Andrés, 2023, "Healthcare Facilities in Ghana", https://doi.org/10.7910/DVN/AH4M1E, Harvard Dataverse, V1
Contains two georeferenced files (geopackages). One has 2,614 correctly georeferenced health facilities across Ghana. The other contains a subsection of 184 health facilities, for which mini-grid energy system simulations were run. All georeferenced files have the projected coordinate system EPSG:32630.
Mar 9, 2023
Cader, Catherina; Andrade, Andrés, 2023, "Electricity Infrastructure in Ghana", https://doi.org/10.7910/DVN/7VAEIS, Harvard Dataverse, V1
Contains georeferenced files (geopackages) with Ghana's electricity infrastructure. Includes: electricity grid network, nightlight imagery, and binary night-light mask derived from it depicting electrified from non-electrified areas in Ghana. All georeferenced files have the projected coordinate system EPSG:32630.
Mar 9, 2023
Cader, Catherina; Andrade, Andrés, 2023, "Population Settlements in Ghana", https://doi.org/10.7910/DVN/FLBK2M, Harvard Dataverse, V1
This dataset contains all population settlements in Ghana used in this study, based on the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) and High Resolution Settlement Layer (HRSL) data. Columns and their unit are: 1) type (BUA, SSA, or hamlet), 2) "Area_km2" [km^2], 3) "Region", 4) "District", 5) "Pop2020" as absolute...
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