This research aims to determine whether monsoonal clustering is required for
meteorological and pollutant concentration data collected in Keningau. Missing
data is first imputed using Nearest Neighbour Method (NNM). Then, wind
direction and wind speed are converted into northern (Wy) and eastern (Wx)
component of wind speed. Data is then temporal clustered based on monsoonal
season (NEM, IM4, SWM, IM10). Both clustered and unclustered data are
analysed using principal component (PC) analysis (PCA).

Categories: Kualiti, Udara
Tags: Artikel Jurnal, Data Penerbitan, Terbuka