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A Case Study of Geovisual Analytics Approach for Exploring Unknown Patterns over Spatio-Temporal Datasets

by Monisha Biswas, Md. Monjur-Ul-Hasan, Anupia Barua
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 7
Year of Publication: 2017
Authors: Monisha Biswas, Md. Monjur-Ul-Hasan, Anupia Barua
10.5120/ijca2017915429

Monisha Biswas, Md. Monjur-Ul-Hasan, Anupia Barua . A Case Study of Geovisual Analytics Approach for Exploring Unknown Patterns over Spatio-Temporal Datasets. International Journal of Computer Applications. 174, 7 ( Sep 2017), 24-28. DOI=10.5120/ijca2017915429

@article{ 10.5120/ijca2017915429,
author = { Monisha Biswas, Md. Monjur-Ul-Hasan, Anupia Barua },
title = { A Case Study of Geovisual Analytics Approach for Exploring Unknown Patterns over Spatio-Temporal Datasets },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 7 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number7/28420-2017915429/ },
doi = { 10.5120/ijca2017915429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:31.625699+05:30
%A Monisha Biswas
%A Md. Monjur-Ul-Hasan
%A Anupia Barua
%T A Case Study of Geovisual Analytics Approach for Exploring Unknown Patterns over Spatio-Temporal Datasets
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 7
%P 24-28
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An effective web-enabled geovisual analytics approach, that has been developed based on the principles behind visual analytics to interactively visualize and solve spatio-temporal related visualization problems for multivariate data through a visual discovery and analytical reasoning is introduced in this paper. This approach makes extensive use of spatial and temporal filtering, interactive highlighting and color encoding that allows analysts to perform exploratory analysis to make sense of the data A case study is performed illustrating the benefits of using this proposed approach by finding unknown information for effective decision making in real world problem.

References
  1. Hasan,M.M.U. 2015. A Study of Geovisual Analytics for Exploring Event Anomalies Over Multiple Geo- spatial Datasets. Masters thesis, Memorial University of Newfoundland, Newfoundland, Canada.
  2. Ho,Q.V. 2013. Architecture and Applications of a Geovisual Analytics Framework. Linkoping University Electronic Press.
  3. Ware,C. 2004. Information Visualization : Perception for Design. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
  4. Keim,D.A., Mansmann, F.,Oelke, D. and Ziegler, H. 2008. Visual Analytics: Combining Automated Discovery with Interactive Visualizations. In Proceedings of the International Conference on Discovery Science, pp.2– 14.
  5. Ahlberg, C. and Shneiderman, B. 1994. Visual Information Seeking : Tight Coupling of Dynamic Query Filters with Starfield Displays.In Proceedings of ACM CHI94 Conference on Human Factors in Computing Systems.
  6. Andrienko , N. and Andrienko , G. 2005. Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer-Verlag New York, Inc., Secaucus, NJ, USA.
  7. Andrienko,G. and Andrienko,N. 2004.Interactive Visual Tools to Explore Spatio Temporal Variation. In Proceedings of the working conference on Advanced visual interfaces, AVI '04, pp. 417-420, New York, NY,USA.
  8. Hoeber,O., Wilson , G. and Harding, S.2011.Exploring Geo-Temporal Differences Using GTdiff .Visualization Symposium,IEEE Pacific, pp.139-146.
  9. Andrienko,G., Andrienko, N. and Wrobel,S.2007. Visual Analytics Tools for Analysis of Movement Data. ACM SIGKDD Explorations Newsletter, 9(2):38–46.
Index Terms

Computer Science
Information Sciences

Keywords

Geovisual analytics (GVA) Spatio-temporal data Analytical reasoning Visual variable.

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