GeoAI at ACM SIGSPATIAL

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.

Perspectives on Advanced Technologies in Spatial Data Collection and Analysis

“…On a different note, currently released open datasets, such as the Overture Places dataset with millions of points of interest around the globe [46], provide new opportunities for analysis and data integration with other data sources in numerous geoapplications. This list of evolving topics is therefore included in the follow-up Special Issue (https://www.mdpi.com/journal/geographies/special_issues/VN77IP0N1D, accessed on 17 October 2023), with the goal of enhancing previous findings [47][48][49][50] from papers published in related Special Issues and meetings, such as the ACM SIGSPATIAL GeoAI workshop series.…”