Artificial Intelligence and Human Geography
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Abstract (arXiv)
This paper examines the recent advances and applications of AI in human geography especially the use of machine (deep) learning, including place representation and modeling, spatial analysis and predictive mapping, and urban planning and design. AI technologies have enabled deeper insights into complex human-environment interactions, contributing to more effective scientific exploration, understanding of social dynamics, and spatial decision-making. Furthermore, human geography offers crucial contributions to AI, particularly in context-aware model development, human-centered design, biases and ethical considerations, and data privacy. The synergy beween AI and human geography is essential for addressing global challenges like disaster resilience, poverty, and equitable resource access. This interdisciplinary collaboration between AI and geography will help advance the development of GeoAI and promise a better and sustainable world for all.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 67 references that are in the map. First posted on arXiv 14 Dec 2023.
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9 of 67 references.
References · 9
- 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
- 2019Principles alone cannot guarantee ethical AIcited by 135
- 2017Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the UScited by 66
- 2020LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protectioncited by 57
- 2023Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messagescited by 31
- 2020Roofpedia: Automatic mapping of green and solar roofs for an open roofscape registry and evaluation of urban sustainabilitycited by 9
- 2021Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biasescited by 7
- 2019Extracting human emotions at different places based on facial expressions and spatial clustering analysiscited by 5
- 2013Constructing Gazetteers from Volunteered Big Geo-Data Based on Hadoopcited by 2
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