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

Authors :
Yingjie Hu
Michael Goodchild
A-Xing Zhu
May Yuan
Orhun Aydin
Budhendra Bhaduri
Song Gao
Wenwen Li
Dalton Lunga
Shawn Newsam
Source :
Annals of GIS, Vol 30, Iss 1, Pp 1-14 (2024)
Publication Year :
2024
Publisher :
Taylor & Francis Group, 2024.

Abstract

ABSTRACTThe 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.

Details

Language :
English
ISSN :
19475683 and 19475691
Volume :
30
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Annals of GIS
Publication Type :
Academic Journal
Accession number :
edsdoj.f773a136d6da456f8ae996db85e3b4d8
Document Type :
article
Full Text :
https://doi.org/10.1080/19475683.2024.2309866