Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review

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...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Geospatial artificial intelligence
GeoAI
Human geography
Geographic subdomains
Systematic review
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224000888

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http://www.sciencedirect.com/science/article/pii/S1569843224000888

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