Learning place representations from spatial interactions-Reference-Cited by-同舟云学术

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Learning place representations from spatial interactions

Published:2024-03-27 Issue:6 Volume:38 Page:1065-1090
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Wang Xuechen¹,Chen Huanfa²^ORCID,Liu Yu¹³^ORCID

Affiliation:

1. Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, PR China

2. Centre for Advanced Spatial Analysis, University College London, London, UK

3. Southwest United Graduate School, Kunming, PR China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2332908

Reference72 articles.

1. Spatial dependence in the technical efficiency of local banks

2. The Gravity Model

3. Local Indicators of Spatial Association-LISA

4. Geography-Aware Self-Supervised Learning

5. Bai, L., et al., 2020. Adaptive graph convolutional recurrent network for traffic forecasting. In: H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan and H. Lin, eds. Advances in neural information processing systems. Red Hook, NY: Curran Associates, Inc., Vol. 33, 17804–17815.

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