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Parallel Coordinates Visualization Tool on the Air Pollution Data for Northern Malaysia

  • J. Joshua Thomas
  • Raaj Lokanathan
  • Justtina Anantha Jothi
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 741)

Abstract

The paper explains the contents of particles on the air pollution data through parallel coordinate visualization. This approach involves graph-plotting algorithms with parallel coordinates that explore the raw data with interactive filtering that facilitates the insight of the materials that mixed and harm the population in northern Malaysia. By presenting, the parallel coordinates method to visualize the parameter space that influence and visually identify the hazardous, moderate, unhealthy gaseous content in the air. The visual representation presents the large amount of data into single visualization. The paper discussed the performance of the chosen visualization method and tested with northern region datasets.

Keywords

Parallel coordinates Visual representation Clustering data 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • J. Joshua Thomas
    • 1
  • Raaj Lokanathan
    • 1
  • Justtina Anantha Jothi
    • 1
  1. 1.Department of Computing, School of Engineering, Computing and Built EnvironmentKDU Penang University CollegePenangMalaysia

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