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2018•Unpublished venueRequires access

A Visual Analytics Framework for Big Spatiotemporal Data

Shaohua Wang, Ershun Zhong, Wenwen Cai, Qiang Zhou, Hao Lu, Yongquan Gu, Weiying Yun, Zhongnan Hu, Liang Long

Open publisher page 5 citations

Abstract

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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.

Key concepts: Visual analytics, Interactive visual analysis, Computer science, Big data, Analytics, Cultural analytics, Visualization, Data science

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