Current topics and challenges in geoAI

Kai-Florian Richter; Simon Scheider

doi:10.1007/s13218-022-00796-0

Current topics and challenges in geoAI

Kai-Florian Richter^*, Simon Scheider

^*Corresponding author for this work

Urban Accessibility and Social Inclusion

Department of Computing Science, Umeå University, 901 87, Umeå, Sweden

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	11-16
Number of pages	6
Journal	KI - Kunstliche Intelligenz
Volume	37
Issue number	1
Early online date	26 Jan 2023
DOIs	https://doi.org/10.1007/s13218-022-00796-0
Publication status	Published - Mar 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Keywords

Explainable AI
Explicit models
Smart cities
Social sensing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s13218-022-00796-0Licence: CC BY

s13218-022-00796-0Final published version, 593 KBLicence: CC BY

Cite this

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Current topics and challenges in geoAI

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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