Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping

Song, Y., Kalacska, M., Gašparović, M., Yao, J. and Najibi, N. (2023) Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping. International Journal of Applied Earth Observation and Geoinformation, 120, 103300. (doi: 10.1016/j.jag.2023.103300)

Abstract

Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in advancing geographic information science (GIS) and Earth observation to a new stage. GeoAI has enhanced traditional geospatial analysis and mapping, altering the methods for understanding and managing complex human–natural systems. However, there are still challenges in various aspects of geospatial applications related to natural, built, and social environments, and in integrating unique geospatial features into GeoAI models. Meanwhile, geospatial and Earth data are critical components in geocomputation and GeoAI studies, as they can effectively reveal geospatial patterns, factors, relationships, and decision-making processes. This editorial provides a comprehensive overview of geocomputation and GeoAI applications in mapping, classifying them into four categories: (i) buildings and infrastructure, (ii) land use analysis, (iii) natural environment and hazards, and (iv) social issues and human activities. In addition, the editorial summarizes geospatial and Earth data in case studies into seven categories, including in-situ data, geospatial datasets, crowdsourced geospatial data (i.e., geospatial big data), remote sensing data, photogrammetry data, LiDAR, and statistical data. Finally, the editorial presents challenges and opportunities for future research.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yao, Dr Jing
• Authors: Song, Y., Kalacska, M., Gašparović, M., Yao, J., and Najibi, N.
• College/School: College of Social Sciences > School of Social and Political Sciences > Urban Studies
• Journal Name: International Journal of Applied Earth Observation and Geoinformation
• Publisher: Elsevier
• ISSN: 1569-8432
• ISSN (Online): 1872-826X
• Published Online: 28 April 2023
• Copyright Holders: Copyright © 2023 The Author(s)
• First Published: First published in International Journal of Applied Earth Observation and Geoinformation 120:103300
• Publisher Policy: Reproduced under a Creative Commons license