A Visual Analytics Framework for Big Spatiotemporal Data

被引：1

作者：

Wang, Shaohua ^{[1
]}

Zhong, Ershun ^{[1
]}

Cai, Wenwen ^{[2
]}

Zhou, Qiang ^{[2
]}

Lu, Hao ^{[2
]}

Gu, Yongquan ^{[2
]}

Yun, Weiying ^{[2
]}

Hu, Zhongnan ^{[2
]}

Long, Liang ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, POB 100101, Beijing, Peoples R China

[2] SuperMap Software Co Ltd, POB 100015, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2ND ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON ANALYTICS FOR LOCAL EVENTS AND NEWS (LENS 2018) | 2018年

关键词：

Big Spatiotemporal Data (BSTD); Visual Analytics framework; iDesktop Cross; GIScript; SuperMap GIS; MASS MOBILITY;

D O I：

10.1145/3282866.3282869

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Spatial visual analytics(1) is a critical aspect for big spatiotemporal data (BSTD) in exhibition the hidden spatiotemporal patterns. However, the real-time and dynamic characters of BSTD causes great challenges for the GIS domain and big data domain due to the limitation of the current visual analytics tools. Thus, we propose and implement a visual analytics framework. The framework integrates open source map library and visualization library to provide innovative visual capacity for BSTD. The framework uses GIScript and iDesktop Cross to support high performance BSTD spatial analytics. The application of the framework in global air traffic data proves its efficiency and utility in discovering the global flight patterns. The framework simplifies the visual analytics procedure for BSTD and can be adopted by various domains.

引用

页数：5

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