DOAJ Open Access 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 +26 lainnya

Abstrak

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.

Topik & Kata Kunci

Physical geography Environmental sciences

Penulis (31)

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 Sitasi

APA MLA BibTeX

Wang, S., Huang, X., Liu, P., Zhang, M., Biljecki, F., Hu, T. et al. (2024). Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review. https://doi.org/10.1016/j.jag.2024.103734

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1016/j.jag.2024.103734
Akses: Open Access ✓