Nurul Nadrah Aqilah, Tukimat and Sobri, Harun and Mohd Yuhyi, Mohd Tadza (2019) The potential of canonical correlation analysis in multivariable screening of climate model. In: IOP Conference Series: Earth and Environmental Science, International Conference on Agricultural Technology, Engineering and Environmental Sciences , 21-22 August 2019 , Banda Aceh, Indonesia. pp. 1-10., 365 (012025). ISSN 1755-1315
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Abstract
The statistical downscaling model (SDSM) been used to analyse the potential changes of local climate trend in the long term. The difficulty of the SDSM model in selecting the best predictors group which having good association to the local climate. Even the SDSM provides screening process to analyse the predictor-rainfall relationship, however it has limited ability in analyzing multiple variables from 26 predictors with 10 rainfall stations around Kedah state, Malaysia. In this regard, the Canonical Correlation Analysis (CCA) been used to analyse the multi predictor-rainfall relationships. The concept of canonical coefficient is sufficient to show the capability and reliability of the predictors based on the percentages of variance that can explained in the dependent variable using the independent variable. There were 10 predictors’ group have been developed and one predictor’s group was built based on the CCA result. The performances of these predictors groups were tested using statistical analyses. Results revealed that the predictors group selected by the CCA method has produced smaller values of MAE and MSE for all stations except at station of Ladang Tanjung Pauh. The box plot’s results, which generated from one hundred simulated samples, indicated that the performance of CCA method was remarkable. ical researchers while designing the studies to maximize the benefits of the secondary data.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | SDSM; Canonical Correlation; Climate; Kedah; Predictors |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Faculty of Civil Engineering & Earth Resources |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 17 Dec 2019 03:49 |
| Last Modified: | 17 Dec 2019 03:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/26036 |
| Download Statistic: | View Download Statistics |
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