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.
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Thomas, J.J., Lokanathan, R., Jothi, J.A. (2018). Parallel Coordinates Visualization Tool on the Air Pollution Data for Northern Malaysia. In: Zelinka, I., Vasant, P., Duy, V., Dao, T. (eds) Innovative Computing, Optimization and Its Applications. Studies in Computational Intelligence, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-319-66984-7_16
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DOI: https://doi.org/10.1007/978-3-319-66984-7_16
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