Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
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, behavioura...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843224000888 |
| _version_ | 1797224311426121728 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Siqin Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T13:51:06Z |
| format | Article |
| id | doaj.art-0a8fcb06ed62487f8b964dcf5937055a |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-24T13:51:06Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-0a8fcb06ed62487f8b964dcf5937055a2024-04-04T05:03:40ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322024-04-01128103734Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic reviewSiqin Wang0Xiao Huang1Pengyuan Liu2Mengxi Zhang3Filip Biljecki4Tao Hu5Xiaokang Fu6Lingbo Liu7Xintao Liu8Ruomei Wang9Yuanyuan Huang10Jingjing Yan11Jinghan Jiang12Michaelmary Chukwu13Seyed Reza Naghedi14Moein Hemmati15Yaxiong Shao16Nan Jia17Zhiyang Xiao18Tian Tian19Yaxin Hu20Lixiaona Yu21Winston Yap22Edgardo Macatulad23Zhuo Chen24Yunhe Cui25Koichi Ito26Mengbi Ye27Zicheng Fan28Binyu Lei29Shuming Bao30Spatial 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).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).Future Cities Lab Global, Singapore-ETH Centre, SingaporeCarilion School of Medicine, Virginia Tech, Blacksburg, VA, United StatesDepartment of Architecture, National University of Singapore, Singapore; Department of Real Estate, National University of Singapore, SingaporeDepartment of Geography, Oklahoma State University, Stillwater, OK, United StatesCentre for Geographic Analysis, Harvard University, Cambridge, MA, United States; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, ChinaCentre for Geographic Analysis, Harvard University, Cambridge, MA, United StatesDepartment of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, ChinaUniversity of Queensland, Brisbane, AustraliaUniversity of Queensland, Brisbane, AustraliaSpatial 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 StatesDepartment of Environmental Science Policy and Management, University of California Berkeley, Califorina, United StatesSpatial 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 StatesSpatial 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 StatesEnvironmental Dynamics Program, Graduate School and International Education, University of Arkansas, Fayetteville, AR, United StatesDepartment of Earth Atmosphere and Environment, Northern Illinois University, Dekalb, IL, United StatesCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, Michigan, United StatesDepartment of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, ChinaDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan, ChinaThe Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, United StatesDepartment of Geography, Oklahoma State University, Stillwater, OK, United StatesDepartment of Architecture, National University of Singapore, SingaporeDepartment of Architecture, National University of Singapore, SingaporeHarrington Heart and Vascular Institute, University Hospitals, and School of Medicine, Case Western Reserve University, Cleveland, OH, United StatesDepartment of Geography, University of Connecticut, Storrs, CT, United StatesDepartment of Architecture, National University of Singapore, SingaporeDepartment of Architecture, National University of Singapore, SingaporeDepartment of Architecture, National University of Singapore, SingaporeDepartment of Architecture, National University of Singapore, SingaporeChina Data Institute, Michigan, United StatesThis 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.http://www.sciencedirect.com/science/article/pii/S1569843224000888Geospatial artificial intelligenceGeoAIHuman geographyGeographic subdomainsSystematic review |
| spellingShingle | 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 Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review International Journal of Applied Earth Observations and Geoinformation Geospatial artificial intelligence GeoAI Human geography Geographic subdomains Systematic review |
| title | Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review |
| title_full | Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review |
| title_fullStr | Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review |
| title_full_unstemmed | Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review |
| title_short | Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review |
| title_sort | mapping the landscape and roadmap of geospatial artificial intelligence geoai in quantitative human geography an extensive systematic review |
| topic | Geospatial artificial intelligence GeoAI Human geography Geographic subdomains Systematic review |
| url | http://www.sciencedirect.com/science/article/pii/S1569843224000888 |
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