Revolutionary advances in artificial intelligence (AI) in the past decade have brought
transformative innovation across science and engineering disciplines. In the field of Arctic …

Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph
neural networks (GNNs) have become one of the most popular methods in recent years …

This paper reviews trends in GeoAI research and discusses cutting-edge advances in GeoAI
and its roles in accelerating environmental and social sciences. It addresses ongoing …

Understanding the intricacies of fine-grained population distribution, including both
predictability and uncertainty, is crucial for urban planning, social equity, and environmental …

In the digital era, the integration of artificial intelligence (AI) technology in education is
essential to improve the quality of learning. This study explores the application of AI in the …

GeoAI has emerged as an exciting interdisciplinary research area that combines spatial
theories and data with cutting-edge AI models to address geospatial problems in a novel …

Flood inundation map** is a critical task for responding to the increasing risk of flooding
linked to global warming. Significant advancements of deep learning in recent years have …

Vision foundation models are a new frontier in Geospatial Artificial Intelligence (GeoAI), an
interdisciplinary research area that applies and extends AI for geospatial problem solving …

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) …

This chapter presents some of the fundamental assumptions and principles that could form
the philosophical foundation of GeoAI and spatial data science. Instead of reviewing the well …