International Journal of Applied Earth Observations and Geoinformation (Apr 2024)
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Siqin Wang,
- Xiao Huang,
- Pengyuan Liu,
- Mengxi Zhang,
- Filip Biljecki,
- Tao Hu,
- Xiaokang Fu,
- Lingbo Liu,
- Xintao Liu,
- Ruomei Wang,
- Yuanyuan Huang,
- Jingjing Yan,
- Jinghan Jiang,
- Michaelmary Chukwu,
- Seyed Reza Naghedi,
- Moein Hemmati,
- Yaxiong Shao,
- Nan Jia,
- Zhiyang Xiao,
- Tian Tian,
- Yaxin Hu,
- Lixiaona Yu,
- Winston Yap,
- Edgardo Macatulad,
- Zhuo Chen,
- Yunhe Cui,
- Koichi Ito,
- Mengbi Ye,
- Zicheng Fan,
- Binyu Lei,
- Shuming Bao
Affiliations
- Siqin Wang
- Spatial Sciences Institute, University of Southern California, Los Angeles, United States; University of Queensland, Brisbane, Australia; School of Science, RMIT University, Melbourne, Australia; Corresponding authors at: Spatial Sciences Institute, University of Southern California, Los Angeles, United States (S.Wang).
- Xiao Huang
- Department of Environmental Sciences, Emory University, Atlanta, United States; Corresponding authors at: Spatial Sciences Institute, University of Southern California, Los Angeles, United States (S.Wang).
- Pengyuan Liu
- Future Cities Lab Global, Singapore-ETH Centre, Singapore
- Mengxi Zhang
- Carilion School of Medicine, Virginia Tech, Blacksburg, VA, United States
- Filip Biljecki
- Department of Architecture, National University of Singapore, Singapore; Department of Real Estate, National University of Singapore, Singapore
- Tao Hu
- Department of Geography, Oklahoma State University, Stillwater, OK, United States
- Xiaokang Fu
- Centre for Geographic Analysis, Harvard University, Cambridge, MA, United States; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China
- Lingbo Liu
- Centre for Geographic Analysis, Harvard University, Cambridge, MA, United States
- Xintao Liu
- Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China
- Ruomei Wang
- University of Queensland, Brisbane, Australia
- Yuanyuan Huang
- University of Queensland, Brisbane, Australia
- Jingjing Yan
- Spatial Sciences Institute, University of Southern California, Los Angeles, United States; University of Queensland, Brisbane, Australia; School of Science, RMIT University, Melbourne, Australia; Department of Environmental Sciences, Emory University, Atlanta, United States; Future Cities Lab Global, Singapore-ETH Centre, Singapore; Carilion School of Medicine, Virginia Tech, Blacksburg, VA, United States; Department of Architecture, National University of Singapore, Singapore; Department of Real Estate, National University of Singapore, Singapore; Department of Geography, Oklahoma State University, Stillwater, OK, United States; Centre for Geographic Analysis, Harvard University, Cambridge, MA, United States; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China; Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China; Department of Environmental Science Policy and Management, University of California Berkeley, Califorina, United States; Environmental Dynamics Program, Graduate School and International Education, University of Arkansas, Fayetteville, AR, United States; Department of Earth Atmosphere and Environment, Northern Illinois University, Dekalb, IL, United States; Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, Michigan, United States; Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan, China; The Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, United States; Harrington Heart and Vascular Institute, University Hospitals, and School of Medicine, Case Western Reserve University, Cleveland, OH, United States; Department of Geography, University of Connecticut, Storrs, CT, United States; China Data Institute, Michigan, United States; Department of Geosciences, University of Arkansas, AR, United States
- Jinghan Jiang
- Department of Environmental Science Policy and Management, University of California Berkeley, Califorina, United States
- Michaelmary Chukwu
- Spatial Sciences Institute, University of Southern California, Los Angeles, United States; University of Queensland, Brisbane, Australia; School of Science, RMIT University, Melbourne, Australia; Department of Environmental Sciences, Emory University, Atlanta, United States; Future Cities Lab Global, Singapore-ETH Centre, Singapore; Carilion School of Medicine, Virginia Tech, Blacksburg, VA, United States; Department of Architecture, National University of Singapore, Singapore; Department of Real Estate, National University of Singapore, Singapore; Department of Geography, Oklahoma State University, Stillwater, OK, United States; Centre for Geographic Analysis, Harvard University, Cambridge, MA, United States; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China; Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China; Department of Environmental Science Policy and Management, University of California Berkeley, Califorina, United States; Environmental Dynamics Program, Graduate School and International Education, University of Arkansas, Fayetteville, AR, United States; Department of Earth Atmosphere and Environment, Northern Illinois University, Dekalb, IL, United States; Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, Michigan, United States; Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan, China; The Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, United States; Harrington Heart and Vascular Institute, University Hospitals, and School of Medicine, Case Western Reserve University, Cleveland, OH, United States; Department of Geography, University of Connecticut, Storrs, CT, United States; China Data Institute, Michigan, United States; Department of Geosciences, University of Arkansas, AR, United States
- Seyed Reza Naghedi
- Spatial Sciences Institute, University of Southern California, Los Angeles, United States; University of Queensland, Brisbane, Australia; School of Science, RMIT University, Melbourne, Australia; Department of Environmental Sciences, Emory University, Atlanta, United States; Future Cities Lab Global, Singapore-ETH Centre, Singapore; Carilion School of Medicine, Virginia Tech, Blacksburg, VA, United States; Department of Architecture, National University of Singapore, Singapore; Department of Real Estate, National University of Singapore, Singapore; Department of Geography, Oklahoma State University, Stillwater, OK, United States; Centre for Geographic Analysis, Harvard University, Cambridge, MA, United States; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China; Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China; Department of Environmental Science Policy and Management, University of California Berkeley, Califorina, United States; Environmental Dynamics Program, Graduate School and International Education, University of Arkansas, Fayetteville, AR, United States; Department of Earth Atmosphere and Environment, Northern Illinois University, Dekalb, IL, United States; Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, Michigan, United States; Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan, China; The Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, United States; Harrington Heart and Vascular Institute, University Hospitals, and School of Medicine, Case Western Reserve University, Cleveland, OH, United States; Department of Geography, University of Connecticut, Storrs, CT, United States; China Data Institute, Michigan, United States; Department of Geosciences, University of Arkansas, AR, United States
- Moein Hemmati
- Environmental Dynamics Program, Graduate School and International Education, University of Arkansas, Fayetteville, AR, United States
- Yaxiong Shao
- Department of Earth Atmosphere and Environment, Northern Illinois University, Dekalb, IL, United States
- Nan Jia
- Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, Michigan, United States
- Zhiyang Xiao
- Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China
- Tian Tian
- Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan, China
- Yaxin Hu
- The Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, United States
- Lixiaona Yu
- Department of Geography, Oklahoma State University, Stillwater, OK, United States
- Winston Yap
- Department of Architecture, National University of Singapore, Singapore
- Edgardo Macatulad
- Department of Architecture, National University of Singapore, Singapore
- Zhuo Chen
- Harrington Heart and Vascular Institute, University Hospitals, and School of Medicine, Case Western Reserve University, Cleveland, OH, United States
- Yunhe Cui
- Department of Geography, University of Connecticut, Storrs, CT, United States
- Koichi Ito
- Department of Architecture, National University of Singapore, Singapore
- Mengbi Ye
- Department of Architecture, National University of Singapore, Singapore
- Zicheng Fan
- Department of Architecture, National University of Singapore, Singapore
- Binyu Lei
- Department of Architecture, National University of Singapore, Singapore
- Shuming Bao
- China Data Institute, Michigan, United States
- Journal volume & issue
-
Vol. 128
p. 103734
Abstract
This paper brings a comprehensive systematic review of the application of geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including the subdomains of cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography. In this extensive review, we obtain 14,537 papers from the Web of Science in the relevant fields and select 1516 papers that we identify as human geography studies using GeoAI via human scanning conducted by several research groups around the world. We outline the GeoAI applications in human geography by systematically summarising the number of publications over the years, empirical studies across countries, the categories of data sources used in GeoAI applications, and their modelling tasks across different subdomains. We find out that existing human geography studies have limited capacity to monitor complex human behaviour and examine the non-linear relationship between human behaviour and its potential drivers—such limits can be overcome by GeoAI models with the capacity to handle complexity. We elaborate on the current progress and status of GeoAI applications within each subdomain of human geography, point out the issues and challenges, as well as propose the directions and research opportunities for using GeoAI in future human geography studies in the context of sustainable and open science, generative AI, and quantum revolution.
