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GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research

Authors:

Xueqing DengAuthors Info & Claims

SIGSPATIAL Special, Volume 13, Issue 3

Pages 21 - 32

https://doi.org/10.1145/3578484.3578491

Published: 23 December 2022 Publication History

Abstract

Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption. However, the efficient design and implementation of GeoAI systems face many open challenges. This is mainly due to the lack of non-standardized approaches to artificial intelligence tool development, inadequate platforms, and a lack of multidisciplinary engagements, which all motivate domain experts to seek a shared stage with scientists and engineers to solve problems of significant impact on society. Since its inception in 2017, the GeoAI series of workshops has been co-located with the Association for Computing Machinery International Conference on Advances in Geographic Information Systems. The workshop series has fostered a nexus for geoscientists, computer scientists, engineers, entrepreneurs, and decision-makers, from academia, industry, and government to engage in artificial intelligence, spatio-temporal data computing, and geospatial data science research, motivated by various challenges. In this article, we revisit and discuss the state of GeoAI open research directions, the recent developments, and an emerging agenda calling for a continued cross-disciplinary community engagement.

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Cited By

Hu YGoodchild MZhu AYuan MAydin OBhaduri BGao SLi WLunga DNewsam S(2024)A five-year milestone: reflections on advances and limitations in GeoAI researchAnnals of GIS10.1080/19475683.2024.230986630:1(1-14)Online publication date: 29-Jan-2024
https://doi.org/10.1080/19475683.2024.2309866
Hochmair HNavratil GHuang H(2023)Perspectives on Advanced Technologies in Spatial Data Collection and AnalysisGeographies10.3390/geographies30400373:4(709-713)Online publication date: 2-Nov-2023
https://doi.org/10.3390/geographies3040037

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cover image SIGSPATIAL Special

SIGSPATIAL Special Volume 13, Issue 3

November 2021

36 pages

EISSN:1946-7729

DOI:10.1145/3578484

Editor:
Martin Werner
Technical University of Munich, Germany

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Published: 23 December 2022

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Cited By

Hu YGoodchild MZhu AYuan MAydin OBhaduri BGao SLi WLunga DNewsam S(2024)A five-year milestone: reflections on advances and limitations in GeoAI researchAnnals of GIS10.1080/19475683.2024.230986630:1(1-14)Online publication date: 29-Jan-2024
https://doi.org/10.1080/19475683.2024.2309866
Hochmair HNavratil GHuang H(2023)Perspectives on Advanced Technologies in Spatial Data Collection and AnalysisGeographies10.3390/geographies30400373:4(709-713)Online publication date: 2-Nov-2023
https://doi.org/10.3390/geographies3040037

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