Abstract—Climate change is a substantial burden for most populations, in particular those in developing countries like Thailand, and specifically north western Thailand. Being largely dependent upon agriculture, this area is hard hit by the climate change. This study is to identify factors according to the climatic variability by creating a resilience index derived from principle component analysis, and then through the application of structural equation modeling utilizing data obtained from the Meteorological Department of Thailand during 1982-2014. In addition, principle component is applied to find the data. Correlation coefficients of up to 0.67 were obtained between the individual principal component loadings. The study determined that the temperature, air volume, and rainfall are highly affected by climatic variability. We further establish a relationship between climatic variables, and forecast the level of climate change in northern Thailand.
Index Terms—Climatic variability, principal component analysis, explore climatic.
D. Prangchumpol is with the Department of Information Technology, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand (e-mail: Dulyawit.pr@ssru.ac.th, dulyawit@gmail.com).
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Cite: D. Prangchumpol, "Applying Principle Component Analysis to Explore Climatic Variability in Northern of Thailand," International Journal of Engineering and Technology vol. 10, no. 3, pp. 259-262, 2018.
