Stinuum

Author:

Kim Kyoung-Sook1,Kim Dongmin2,Jeong Hyemi2,Ogawa Hirotaka1

Affiliation:

1. Artificial Intelligence Research Center, AIST, Koto-ku, Tokyo, Japan

2. Pusan National University, Busan, South Korea

Funder

Japan Society for the Promotion of Science

New Energy and Industrial Technology Development Organization

Publisher

ACM

Reference8 articles.

1. A foundation for representing and querying moving objects

2. Visual analytics of movement: An overview of methods, tools and procedures

3. H. Butler M. Daly A. Doyle S. Gillies S. Hagen and T. Schaub. IETF RFC 7946 The GeoJSON format. https://www.ietf.org/rfc/rfc7946.txt 2016. Online; accessed 15 January 2017. H. Butler M. Daly A. Doyle S. Gillies S. Hagen and T. Schaub. IETF RFC 7946 The GeoJSON format. https://www.ietf.org/rfc/rfc7946.txt 2016. Online; accessed 15 January 2017.

Cited by 4 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. An Integrated Visual Analytics Framework for Spatiotemporal Data;Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities;2018-11-06

2. A Visual Analytics Framework for Big Spatiotemporal Data;Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News;2018-11-06

3. INTEROPERABLE VISUALIZATION OF 3D CITY MODELS USING OGC’S STANDARD 3D PORTRAYAL SERVICE;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2018-09-19

4. Visual insight of spatiotemporal IoT-generated contents;Proceedings of the 2018 International Conference on Advanced Visual Interfaces;2018-05-29

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