General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2020 Vol.12(4): 102-105 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2020.V12.1272

Visual Analysis of Spatial Metadata

Savita Kumari Sheoran and Vinti Parmar

Abstract—Spatial data gathered from various data sources contains huge amount of metadata. Large amount of metadata creates problem for the user to get insight into the required data for any specific application. The problem of selecting required data can be solved by applying data query and spatial query in GIS tool. This paper is attempted to select, visualize and analyze spatial metadata by performing query operations followed by visualizing techniques and plotting graphs to find the densely populated areas in Gurugram District. Spatial data of Gurugram District having large set of metadata information is added to QGIS tool. Query operations followed by dense pixel display visualization technique is used in GIS for better understanding of result data set. The result set having Gurgugram City, Farukhnagar, Sohna, Pataudi and Manesar are further analyzed by plotting graphs.

Index Terms—Data exploration, geographic data, ISO/TC211 standards, spatial metadata, visualization techniques.

Savita Kumari Sheoran and Vinti Parmar are with Department of Computer Science and Engineering, Indira Gandhi University, Meerpur, Rewari, India (e-mail: savita.sheoran@igu.ac.in, vintiparmar1487@gmail.com).

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Cite:Savita Kumari Sheoran and Vinti Parmar, "Visual Analysis of Spatial Metadata," International Journal of Computer Theory and Engineering vol. 12, no. 4, pp. 102-105, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).


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