Hamdan, Muhammad Fauzee and Suhaila, Jamaludin and Jemain, Abdul Aziz (2015) Clustering rainfall pattern in Malaysia using functional data analysis. In: 2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014, 12 - 14 August 2014, Kuantan, Pahang.
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Official URL: http://dx.doi.org/10.1063/1.4907466
Abstract
Understanding rainfall pattern is important for planning and prediction in hydrology, meteorology, water planning and agriculture. There are two important features of rainfall: the rainfall amount and the probability of rainfall occurrence. The discrete raw data of rainfall precipitation was reconstructed into rainfall amount curves by using functional data analysis method. Hierarchical clustering method with complete-linkage method was used to search for natural similar groupings of rainfall amount curves. The functional clustering illustrated the four dominant patterns for rainfall amount curves. In additional, adaptive Neyman test showed that each clusters are significantly different with from each others.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Adaptive Neyman test, Clustering |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 59186 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 18 Jan 2017 01:50 |
| Last Modified: | 05 Apr 2022 05:37 |
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