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GeoAI and Human Geography

The Dawn of a New Spatial Intelligence Era

  • Book
  • Aug 2025

Overview

  • Integrates concepts from human geography with advanced AI technologies
  • Covers a range of GeoAI applications, from natural language processing and machine learning to computer vision and IoT
  • Demonstrates the versatility of GeoAI in various domains of human geography like cultural, political & urban studies

Part of the book series: Springer Geography (SPRINGERGEOGR)

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About this book

This volume outlines a comprehensive journey into how geospatial artificial intelligence (GeoAI) is reshaping our understanding of people and places. Merging traditional geographic inquiry with AI technologies, it offers a holistic view of digital tools and advanced algorithms that redefine human geography. Across twenty‐eight chapters, the book chronicles the evolution of geographic thought into the GeoAI era. Innovative methodologies—from explainable spatial analysis and natural language processing to human-centered computer vision and high-performance computing—reveal new patterns and relationships beyond conventional approaches. Each contribution highlights both technical strides in data processing and enriched perspectives on cultural, economic, political, health, and urban studies. Showcasing diverse applications in disaster management, climate change adaptation, and urban planning, the volume demonstrates GeoAI’s transformative potential. It also engages with ethical, sustainable, and social challenges, emphasizing that technological innovation must serve real-world impacts and inclusivity. Ideal for researchers, students, and practitioners alike, this volume invites you to explore new frontiers at the intersection of technology and human experience.

Keywords

  • GeoAI
  • Human geography
  • Machine learning
  • Geospatial computing
  • Geographic modeling
  • Spatial analysis

Editors and Affiliations

  • Department of Environmental Sciences, Emory University, Atlanta, USA

    Xiao Huang

  • Spatial Sciences Institute, University of Southern California, Los Angeles, USA

    Siqin Wang, John Wilson

  • Department of Geography, University of California, Santa Barbara, Santa Barbara, USA

    Peter Kedron

About the editors

Dr. Xiao Huang is an Assistant Professor in the Department of Environmental Sciences at Emory University. His research expertise encompasses human-environment interaction, computational social sciences, urban informatics, disaster mapping and mitigation, GeoAI, and disaster remote sensing. He has contributed extensively to his field, authoring over 200 peer-reviewed journal articles, and over 20 book chapters, and playing a pivotal role in editing five books. He is among the World’s Top 2% Scientists by Stanford/Elsevier's rankings. In his professional capacity, he serves as an Associate Editor for Computational Urban Science and is a member of the Editorial Board for several prestigious journals. His research has garnered significant attention and received coverage in renowned media outlets such as Nature News, NASA, NBC, and Fox. His work has attracted substantial funding from NSF, NASA, the Bill & Melinda Gates Foundation, the National Academies, and the Centers for Medicare and Medicaid Services.

Dr. Siqin Wang is an Associate Professor at the Spatial Sciences Institute, University of Southern California. She holds affiliated research roles as a Research Associate at Harvard Center for Geographic Analysis, an Adjunct Senior Lecturer at the Royal Melbourne Institute of Technology and the University of Queensland, Australia, and a JSPS Research Fellow at the University of Tokyo, Japan. She is a human geographer and spatial scientist, specializing in human-environment interactions and computational social science, where she has 80+ publications. Her work has earned international recognition via funds from Australia, the U.S., China, Japan, and Morocco; and awards including the 2024 Geospatial World 50 Rising Stars, 2024 IGU- MGSC Excellent Young Scholar Award, and the 2021 Top 20 Global Frontier Technology Young Scientist Award. Her professional roles include serving as Associate Chair of the Spatial Data Lab at Harvard CGA, Vice Chair of the Young Scientist Innovation Network for the International Society for Digital Earth, and an editorial board member, guest editor, and peer reviewer for over 30 international journals.

Dr. Peter Kedron is an Associate Professor of Geography at the University of California Santa Barbara and the Associate Director of the Center for Spatial Studies and Data Science. His research develops and uses spatial analytical methods to explain geographic variation in social and ecological processes. His recent work focuses on the use of replication as a means of evaluating geographic research, and on developing statistical approaches to improve the accumulation of evidence collected from different locations. To date, he has authored over 55 peer-reviewed articles, given over 100 conference presentations and public talks, and supervised over 20 graduate students and post-doctoral scholars. He has been consistently funded by the National Science Foundation and appears in publications in top field journals in Geography, GIScience, and Regional Science. 

Dr. John P. Wilson is a Professor of Sociology and Spatial Sciences in the Dana and David Dornsife College of Letters, Arts and Sciences at the University of Southern California where he directs the Spatial Sciences Institute and the Wilson Map Lab. He also holds appointments as Professor in the School of Architecture, in the Keck School of Medicine of USC’s Department of Population and Public Health Sciences, and in the Viterbi School of Engineering’s Departments of Computer Science and Civil and Environmental Engineering. He currently serves as Editor-in-Chief for Transactions in GIS and the UCGIS GIST Body of Knowledge project. His research focuses on the modeling of coupled human and environmental systems and makes extensive use of GIS, spatial analysis, and computer models. He has published numerous books and articles on these topics, including Spatial Data Science, Environmental Applications of Digital Terrain Modeling, and two edited volumes, i.e. Terrain Analysis: Principles and Applications and the Handbook of Geographic Information Science.

Accessibility Information

PDF accessibility summary

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: GeoAI and Human Geography

  • Book Subtitle: The Dawn of a New Spatial Intelligence Era

  • Editors: Xiao Huang, Siqin Wang, John Wilson, Peter Kedron

  • Series Title: Springer Geography

  • Publisher: Springer Cham

  • eBook Packages: Social Sciences, Social Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Hardcover ISBN: 978-3-031-87420-8Due: 21 August 2025

  • Softcover ISBN: 978-3-031-87423-9Due: 21 August 2026

  • eBook ISBN: 978-3-031-87421-5Due: 21 August 2025

  • Series ISSN: 2194-315X

  • Series E-ISSN: 2194-3168

  • Edition Number: 1

  • Number of Pages: X, 390

  • Number of Illustrations: 9 b/w illustrations, 48 illustrations in colour

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