Abstract

Given the increasing popularity and availability of location tracking devices, large quantities of Spatio-Temporal data (ST-data) are available from many different sources. For the ST-data, reflecting the mobile characteristic of the world, it is essential to build a functional system to perform quickly interactive analysis. In this paper, we present an analysis and visualization system, NUPT ST-data Miner, which facilitates users to visualize and analyze ST-data. It (1) provides a flexible and extensible framework based on cloud computing platform, (2) is able to quickly retrieve specified ST-data, (3) integrated multiple functions for the ST-data. To demonstrate its efficiency, we validate our model and system on a real data set of Microsoft Research Asia. The results from extensive experiments demonstrate that NUPT ST-data Miner is an effective system for visually analyzing spatio-temporal data.

Meeting Name

Information Science and Applications 2018

Department(s)

Computer Science

Comments

Lecture Notes in Electrical Engineering 514

Keywords and Phrases

Spatio-Temporal analysis · Visualization · Big data · Cloud computing · GIS

Document Type

Audio - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© Springer Nature Singapore Pte Ltd, all rights reserved

Publication Date

2018

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