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

Yingjie Hu, Michael Goodchild, A. Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton Lunga, Shawn Newsam

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalAnnals of GIS
Volume30
Issue number1
DOIs
StatePublished - 2024

Keywords

  • GeoAI
  • Giscience
  • geography
  • perspectives
  • theory

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

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