Current topics and challenges in geoAI
dc.contributor.author | Richter, Kai-Florian | |
dc.contributor.author | Scheider, Simon | |
dc.date | 2023-03-01 | |
dc.date.accessioned | 2023-08-11T12:28:53Z | |
dc.date.available | 2023-08-11T12:28:53Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Taken 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.doi | 10.1007/s13218-022-00796-0 | |
dc.identifier.issn | 1610-1987 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s13218-022-00796-0 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/41899 | |
dc.publisher | Springer | |
dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 37, No. 1 | |
dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
dc.subject | Explainable AI||Explicit models||Smart cities||Social sensing | |
dc.title | Current topics and challenges in geoAI | de |
dc.type | Text/Journal Article | |
mci.reference.pages | 11-16 |