Discovering meaningful patterns for tropical climate change in Malaysia

Ghassan Saleh Al-Dharhani, Zulaiha Ali Othman, Azuraliza Abu Bakar

Research output: Contribution to journalArticle

Abstract

This paper investigated patterns of climate change in Malaysia and proposed a fuzzy based symbolic data representation known as a shapelet patterns algorithm (SPA). The Shapelet Pattern visualise climate change patterns in the form of coloured shapes to indicate annual changes in temperature patterns. The experiment used climate change data collected from four stations in Malaysia, Petaling-jaya, Subang, KLIA-Sepang and University Malaya, to produce three types of results. The results revealed various climate change patterns that can be used by climate change experts to further analyse the effects of climate change and for better decision making.

Original languageEnglish
Pages (from-to)157-174
Number of pages18
JournalInternational Journal of Global Warming
Volume15
Issue number2
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

climate change
tropical climate
decision making
experiment
temperature

Keywords

  • Climate change
  • Climate shapelet patterns
  • Fuzzy logic
  • Malaysia
  • Symbolic data representation
  • Time series

ASJC Scopus subject areas

  • Global and Planetary Change
  • Atmospheric Science
  • Management, Monitoring, Policy and Law

Cite this

Discovering meaningful patterns for tropical climate change in Malaysia. / Al-Dharhani, Ghassan Saleh; Ali Othman, Zulaiha; Abu Bakar, Azuraliza.

In: International Journal of Global Warming, Vol. 15, No. 2, 01.01.2018, p. 157-174.

Research output: Contribution to journalArticle

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