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).

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Explainable AI
Explicit models
Smart cities
Social sensing

Access to Document

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

UN SDGs

Keywords

Access to Document

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