Indeks Pencemaran Udara berdasarkan Kalendar Grafik untuk Pemprofilan Tren Visualisasi dan Analisis
Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Penerbit UKM
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.
Description
Keywords
Air pollutant index, calendar, data visualization, profiling
Citation
Abd Rahman, N. H., & Lee, M. H. (2020). Air pollutant index calendar-based graphics for visualizing trends profiling and analysis. Sains Malaysiana, 49(1), 201-209.