Descriptive Statistics and Cluster Analysis for Extreme Rainfall in Java Island

3rd International Seminar On Sciences "Sciences On Precision And Sustainable Agriculture"

Komalasari, K.E.^1 ; Pawitan, H.^2 ; Faqih, A.^2

Postgraduate Stud. at Bogor Agricultural University, Indonesia^1

Department of Geophysics and Meteorology, Bogor Agricultural University, Indonesia^2

关键词: Daily rainfall;    Descriptive statistics;    Extreme rainfall;    Inter quartile ranges;    Precipitation data;    Regional groupings;    Squared euclidean distance;    Standard deviation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/58/1/012039/pdf
DOI  :  10.1088/1755-1315/58/1/012039

来源: IOP

【 摘 要 】

This study aims to describe regional pattern of extreme rainfall based on maximum daily rainfall for period 1983 to 2012 in Java Island. Descriptive statistics analysis was performed to obtain centralization, variation and distribution of maximum precipitation data. Mean and median are utilized to measure central tendency data while Inter Quartile Range (IQR) and standard deviation are utilized to measure variation of data. In addition, skewness and kurtosis used to obtain shape the distribution of rainfall data. Cluster analysis using squared euclidean distance and ward method is applied to perform regional grouping. Result of this study show that mean (average) of maximum daily rainfall in Java Region during period 1983-2012 is around 80-181mm with median between 75-160mm and standard deviation between 17 to 82. Cluster analysis produces four clusters and show that western area of Java tent to have a higher annual maxima of daily rainfall than northern area, and have more variety of annual maximum value.