GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review

Author:

Wang Siqin123,Hu Tao4,Xiao Huang5,Li Yun6,Zhang Ce7,Ning Huan8,Zhu Rui7,Li Zhenlong8,Ye Xinyue9

Affiliation:

1. Spatial Sciences Institute, University of Southern California, Los Angeles, USA

2. School of Environment, The University of Queensland, Brisbane, Queensland, Australia

3. School of Science, Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia

4. Department of Geography, Oklahoma State University, Stillwater, Oklahoma, USA

5. Department of Environmental Sciences at Emory University, Atlanta, USA

6. Department of Computer Science, Emory University, Atlanta, USA

7. School of Geographical Sciences, University of Bristol, Bristol, UK

8. Geoinformation and Big Data Research Lab, Department of Geography, The Pennsylvania State University, University Park, USA

9. Department of Landscape Architecture and Urban Planning & Department of Computer Science & Engineering, Texas A&M University, College Station, TX, USA

Funder

Oklahoma State University

Publisher

Informa UK Limited

Reference68 articles.

1. Aghzal M. E. Plaku and Z. Yao. 2023. Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning. arXiv preprint arXiv:2310.03249.

2. Renderdiffusion: Image Diffusion for 3d Reconstruction, Inpainting and Generation;Anciukevičius T.;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2023

3. Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

4. AI tools can improve equity in science

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