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A Web-based Environment for Analysis and Visualization of Spatio-temporal Data provided by OGC Services

Authors:
Maxwell Oliveira
Cláudio Baptista
Ana Falcão

Keywords: visualization; analysis; spatiotemporal; data mining; OGC services

Abstract:
The popularity of GPS devices has led to the quick increasing of spatial data volume in the web. Although there are several studies on spatial data sets, not many deal with the temporal variation that may exist on these sets. Most of the approaches that implement a visual analysis of spatiotemporal data still reveal limitations regarding its flexibility, usability and, mostly, generalization. In order to improve these limitations, we propose a new approach, a web-based spatiotemporal viewer and analyzer, which is domainindependent, deals with the temporal variation, and may be connected to any map server that implements the Web Map Service and Web Feature Service, specified by the Open Geospatial Consortium, and thus, it promotes interoperability. Furthermore, our approach includes data mining clustering algorithms, providing an intuitive visual analysis of the results. We performed a case study to validate the proposed solution and the improvements in spatiotemporal visual analysis. The results showed that the new proposed approach facilitates the analysis of spatiotemporal data by humans.

Pages: 183 to 189

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-178-6

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012