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Current topics and challenges in geoAI

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dc.contributor.authorRichter, Kai-Florian
dc.contributor.authorScheider, Simon
dc.date2023-03-01
dc.date.accessioned2024-11-18T13:19:08Z
dc.date.available2024-11-18T13:19:08Z
dc.date.issued2023
dc.description.abstractTaken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) data sources and advanced machine learning techniques, but also a shift in the kind of problems under investigation. In this article, we highlight some of these changes and identify current topics and challenges in geoAI.de
dc.identifier.doi10.1007/s13218-022-00796-0
dc.identifier.issn1610-1987
dc.identifier.urihttp://dx.doi.org/10.1007/s13218-022-00796-0
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45382
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 37, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectExplainable AI
dc.subjectExplicit models
dc.subjectSmart cities
dc.subjectSocial sensing
dc.titleCurrent topics and challenges in geoAIde
dc.typeText/Journal Article
mci.reference.pages11-16

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Künstliche Intelligenz 37(2-4) - Dezember 2023