Data provided in this dataverse is collected, acquired and processed within the EnerSHelF (Energy Supply for Healthcare Facilities in Ghana) project financed by the German Federal Ministry of Education and Research (BMBF). Funding period: 01.06.2019 – 31.03.2023. BMBF funding grant number 03SF0567C. For additional information, please visit: https://enershelf.de/
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11 to 20 of 33 Results
Tabular Data - 7.6 KB - 1 Variables, 184 Observations - UNF:6:XY+yIWkriUONYLpXjeLiEg==
Results of multi-criteria analysis with subjective weightings
IV MCA Covid-case Data(Reiner Lemoine Institut)
Feb 14, 2024EnerSHelF WP 3.4.7 Covid-case Data
This dataverse is summarising the results of the multi-criteria analysis for to support the paper "Improving vaccination access in Ghana through electrification - A geospatial analysis"
EnerSHelF WP 3.4.7 Covid-case Data(Reiner Lemoine Institut)
Feb 13, 2024
Data provided in this dataverse is collected, acquired and processed within the EnerSHelF (Energy Supply for Healthcare Facilities in Ghana) project financed by the German Federal Ministry of Education and Research (BMBF). Funding period: 01.06.2019 – 31.03.2023. BMBF funding grant number 03SF0567C. For additional information, please visit: https:/...
Unknown - 140.0 KB - MD5: 25d43434936d7bd58cf28b4b3bb7d5cb
Geopackage (.gpkg) file with the 184 selected georeferenced healthcare facilities used for this study, represented as points. Columns are: facility name, type, town, region, district, ownership,area of settlement in which the HCF is located, settlement population by 2020, number of households attributed to the HCF.
Unknown - 556.0 KB - MD5: f977fc3d4103568053675cc60ede2188
Geopackage (.gpkg) file with all georeferenced healthcare facilities in Ghana represented as points. Attributes include: type of facility, ownership, as well as the town, district and region in which they are located.
Unknown - 1.6 MB - MD5: aa5858c0ae2e6366b9fbd0b774819daa
Geopackage with electricity grid infrastructure in Ghana. Only attributes included: unique identifier and source of (multi)line features.
Unknown - 8.5 MB - MD5: 47bc9877fded0fce860277316d93852a
Geopackage file with a single polygon representing off- and weak-grid areas in Ghana, i.e. areas assumed to be unelectrified.
TIFF Image - 6.4 MB - MD5: b831c443348720260b638412573bf8bc
Geotif file with nightlight imagery of Ghana used for this study.
Unknown - 8.8 MB - MD5: e484185845715597086a2101b0117864
Geopackage with all selected settlements, from SSAs to Hamlets, which were used for the pre-feasibility analysis in this study. All settlements are taken from GRID3 data created by the Center for International Earth Science Information Network (CIESIN), at Columbia University.
Unknown - 65.6 MB - MD5: b200cc8911642dfe42122f6ff2cb0a81
Geopackage with Built-up areas in Ghana, i.e. areas with moderately-to-densely-spaced buildings, a visible grid of streets and blocks, and areas greater than 0,4 square kms (CIESIN, 2020).
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