Thematic Geo-Density Heatmapping for Walking Tourism Analytics using Semi-Ready GPS Trajectories-Reference-Cited by-同舟云学术

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Thematic Geo-Density Heatmapping for Walking Tourism Analytics using Semi-Ready GPS Trajectories

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Sasaki Iori¹,Arikawa Masatoshi¹,Lu Min¹,Sato Ryo¹

Affiliation:

1. Science Akita University,Graduate School of Engineering,Akita,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020743.pdf?arnumber=10020743

Reference18 articles.

1. Semantic trajectories modeling and analysis

2. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;KDD 96,1996

3. Articulated Trajectory Mapping for Reviewing Walking Tours

4. Mining user similarity based on location history

5. Optimizing curve segmentation in computer graphics;reumann;Int Comput Symp,1974

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rating Inference for Custom Trips from Enriched GPS Traces using Random Forests;Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising;2023-11-13

2. Polygon Simplification for the Efficient Approximate Analytics of Georeferenced Big Data;Sensors;2023-09-29

3. Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia;ISPRS International Journal of Geo-Information;2023-07-15

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