Air Pollutant Index Calendar-Based Graphics for Visualizing Trends Profiling and Analysis. Sains Malaysiana, 49 (1). pp. 201-209. ISSN 0126-6039 (2020)
Abstract
Detection of air quality abnormality is important as an early warning system for air quality control and management.The information can raise citizens’ awareness towards current air quality status. By using time series plot, the data pattern can be identified but not able to exactly determine the abnormality due to overcrowded plot. Therefore,visualization data profiling was presented in this study by using seven years Malaysia daily air pollutant index to improve the detection. Result shown, the developed approach can simply identify the poor air quality across the month and year. Malaysia air quality was good and consistent between November and May. However, upward trend existed between June and October due to the forest fire happened in Sumatra. This visualization approach improved air pollution detection profiling and it is useful for related agencies to guide the control actions to be taken. This approach can be
applied to any countries and data set to give more competent information.
| Item Type: | Article |
|---|---|
| Keywords: | Air pollutant, Data visualization, Air Quality |
| Taxonomy: | By Subject > Computer & Mathematical Sciences > Computer Science |
| Local Content Hub: | Subjects > Computer and Mathematical Sciences |
| Depositing User: | Wan Hamid Wan Fatimah |
| Date Deposited: | 01 Aug 2021 13:02 |
| Last Modified: | 01 Aug 2021 13:02 |
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