Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach
Author:
Affiliation:
1. Internet Research Center, China Tobacco Guangxi Industrial Company Ltd., Nanning, China
2. College of Computer Science and Institute for Industrial Internet Research, Sichuan University, Chengdu, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504261.pdf?arnumber=10504261
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1. Spatially varying coefficients can improve parsimony and descriptive power for species distribution models
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3. Geospatial big data for urban planning and urban management
4. Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial Regression (GWNBR) and OLS (GWOLSR)
5. Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing
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