Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration

Author:

Guo Tao1,Feng Kaiyu1,Cong Gao1,Bao Zhifeng2

Affiliation:

1. SCSE, Nanyang Technological University, Singapore, Singapore

2. RMIT University, Melbourne, Australia

Funder

DP170102726

NSFC 91646204

NSFC 61728204

DP180102050

Publisher

ACM

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1. SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. An efficient visual exploration approach of geospatial vector big data on the web map;Information Systems;2024-03

3. WhaleVis: Visualizing the History of Commercial Whaling;2023 IEEE Visualization and Visual Analytics (VIS);2023-10-21

4. BlinkViz: Fast and Scalable Approximate Visualization on Very Large Datasets using Neural-Enhanced Mixed Sum-Product Networks;Proceedings of the ACM Web Conference 2023;2023-04-30

5. Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

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