Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in
advancing geographic information science (GIS) and Earth observation to a new stage …

In this paper GeoAI is introduced as an emergent spatial analytical framework for data-
intensive GIScience. As the new fuel of geospatial research, GeoAI leverages recent …

GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …

Recent progress in Artificial Intelligence (AI) techniques, the large-scale availability of high-
quality data, as well as advances in both hardware and software to efficiently process these …

This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …

This paper aims to engage with the ongoing debates on the role of planning in future smart
cities, to make a case for a reconceptualization of the technocentric notion of the smart city …

In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …

Artificial neural networks (ANNs) and their latest advancement in deep learning are
blooming in computer science. Geography has integrated these artificial intelligence …

Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …