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A five-year milestone: reflections on advances and limitations in GeoAI research.

Authors :
Hu, Yingjie
Goodchild, Michael
Zhu, A-Xing
Yuan, May
Aydin, Orhun
Bhaduri, Budhendra
Gao, Song
Li, Wenwen
Lunga, Dalton
Newsam, Shawn
Source :
Annals of GIS; Mar2024, Vol. 30 Issue 1, p1-14, 14p
Publication Year :
2024

Abstract

The Annual Meeting of the American Association of Geographers (AAG) in 2023 marked a five-year milestone since the first Geospatial Artificial Intelligence (GeoAI) Symposium was held at AAG in 2018. In the past five years, progress has been made while open questions remain. In this context, we organized an AAG panel and invited five panellists to discuss the advances and limitations in GeoAI research. The panellists commended the successes, such as the development of spatially explicit models, the production of large-scale geographic datasets, and the use of GeoAI to address real-world problems. The panellists also shared their thoughts on limitations in current GeoAI research, which were considered as opportunities to engage theories in geography, enhance model explainability, quantify uncertainty, and improve model generalizability. This article summarizes the presentations from the panellists and also provides after-panel thoughts from the organizers. We hope that this article can make these thoughts more accessible to interested readers and help stimulate new ideas for future breakthroughs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19475683
Volume :
30
Issue :
1
Database :
Complementary Index
Journal :
Annals of GIS
Publication Type :
Academic Journal
Accession number :
176147047
Full Text :
https://doi.org/10.1080/19475683.2024.2309866