A Graph Neural Network-Based Map Tiles Extraction Method Considering POIs Priority Visualization on Web Map Zoom Dimension
Author:
Affiliation:
1. Division of Frontier Informatics, Kyoto Sangyo University, Kyoto, Japan
2. Faculty of Engineering, Fukuoka University, Fukuoka, Japan
3. Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan
Funder
JSPS KAKENHI
Center for Sciences Towards Symbiosis Among Human, Machine and Data, Institute of Advanced Technology, under Kyoto Sangyo University Research Grant
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09794711.pdf?arnumber=9794711
Reference36 articles.
1. 3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction
2. Comparing Raster Map Comparison Algorithms for Spatial Modeling and Analysis
3. Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics
4. Web mercator and raster tile maps: two cornerstones of online map service providers
5. STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
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