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**Johannes Scholz** @Joe_GISc@mastodon.online · Aug 2, 2024

Aug 2, 2024

Johannes Scholz @Joe_GISc@mastodon.online

New paper alert: "Multi-Criteria Decision Analysis to Evaluate the Geographic Potential of Alternative Photovoltaic Types" (https://doi.org/10.3390/ijgi13080269). The paper highlights an approach to determine the #geographic potential for deploying #photovoltaics and showcases some real-world examples of the #spatialanalysis approach. Funded by FFG Austrian Research Promotion Agency (Project PV4EAG)! Thanks to Franziska Hübl and Franz Welscher for their great work!

https://doi.org/10.3390/ijgi1308026

MDPIMulti-Criteria Decision Analysis to Evaluate the Geographic Potential of Alternative Photovoltaic TypesThis paper contributes to the expansion of green energy production, which is being pursued in order to mitigate climate change and carbon emissions from energy production. It addresses the delineation of areas that are suitable for the application of photovoltaics in the context of agricultural areas, water bodies, and parking spaces. Three specific photovoltaic types are examined in order to find out which criteria influence their geographic potential and whether spatial multi-criteria decision analysis methods are suitable for identifying suitable areas. The proposed approach consists of four steps: (1) collecting factors through expert interviews and questionnaires; (2) mapping the criteria to the spatial datasets; (3) deriving weighted scores for individual criteria through expert interviews; (4) applying the multi-criteria decision analysis method to compute and aggregate the final scores. We test our methodology at selected sites in the state of Styria, Austria. The test sites represent the topographical characteristics of the state and are about 5% of the size of Styria, approximately 820 km2. The key contributions are a weighted set of criteria that are relevant for the geographic potential of alternative photovoltaic types and the developed methodology to determine this potential.

**Eric Kansa** @ekansa@scholar.social · Jun 5, 2024

Jun 5, 2024

Eric Kansa @ekansa@scholar.social

Anyone have advice on using #OpenRefine and #Wikidata for place entity #reconciliation?

I'm wanting to use #geographic lat/lon coordinates to help identify matches, but I'm finding little documentation on how to use the "coordinate location" property (https://www.wikidata.org/wiki/Property:P625) in reconciliation match criteria.

Does it really treat coordinates as a string of comma separated degree-minutes-seconds values?

www.wikidata.orgcoordinate locationgeocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

#opendata #openscience

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