ESTIMATING OF PRECIPITATION OCCURRENCE DURING 2006- 2016 IN BANGKOK, THAILANDWandee Wanishsakpong, Rhysa McNeil and Boonorm Chomtee
This study aims to investigate factors related to the average monthly precipitation in Bangkok, Thailand using a logistic regression model. The data used in this study were monthly averaged data from the Thai Meteorological Department over an eleven-year period (2006-2016). The dependent variable was precipitation which was divided into two groups, namely the precipitation event and the no-precipitation event. Four independent variables employed in the analysis were relative humidity, temperatures, wind direction and wind speed. A logistic regression model showed that factors affecting precipitation occurrence were relative humidity greater than 73% and wind direction from the Southwest. The area under the curve (AUC) indicated that classification accuracy of logistic regression model was satisfactory.