A Visual Analytics Framework for Big Spatiotemporal Data-Reference-Cited by-同舟云学术

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A Visual Analytics Framework for Big Spatiotemporal Data

Published:2018-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News
language:
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Author:

Wang Shaohua¹,Zhong Ershun¹,Cai Wenwen²,Zhou Qiang²,Lu Hao²,Gu Yongquan²,Yun Weiying²,Hu Zhongnan²,Long Liang¹

Affiliation:

1. Institute of Geographic Sciences and Natural Resources Research, CAS, China

2. SuperMap Software Co. Ltd, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3282866.3282869

Reference12 articles.

1. Space, time and visual analytics

2. OpenLayers Homepage https://openlayers.org/ last accessed 2018/09/04. OpenLayers Homepage https://openlayers.org/ last accessed 2018/09/04.

3. Leaflet Homepage https://leafletjs.com/ last accessed 2018/09/04. Leaflet Homepage https://leafletjs.com/ last accessed 2018/09/04.

4. Mapbox GL Homepage https://www.mapbox.com/mapbox-gl-js/api/ last accessed 2018/09/04. Mapbox GL Homepage https://www.mapbox.com/mapbox-gl-js/api/ last accessed 2018/09/04.

5. D3 Homepage https://d3js.org/ last accessed 2018/09/04/ D3 Homepage https://d3js.org/ last accessed 2018/09/04/

Cited by 2 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. Spatial-Temporal Evolution Characteristics Analysis of Color Steel Buildings in Lanzhou City;ISPRS International Journal of Geo-Information;2024-05-29

2. Spatiotemporal data mining: a survey on challenges and open problems;Artificial Intelligence Review;2021-04-15

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