Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Author:
Affiliation:
1. Institute of Remote Sensing and Geographic Information Systems, Peking University
2. Beijing Key Lab of Spatial Information Integration and Its Applications, Peking University
3. Senseable City Laboratory, Massachusetts Institute of Technology
Publisher
Informa UK Limited
Subject
Earth-Surface Processes,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/24694452.2019.1694403
Reference36 articles.
1. Inferring Thematic Places from Spatially Referenced Natural Language Descriptions
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