Analyzing Windstorm Pattern in Malaysia based on Extracted Twitter Data

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dc.contributor.authorN A Isa
dc.contributor.authorS A Salleh
dc.contributor.authorA Chan
dc.contributor.authorN H Zakaria
dc.contributor.authorZ Suif
dc.contributor.authorM Abdul Halim
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-14T03:08:06Z
dc.date.available2024-05-14T03:08:06Z
dc.date.issued2022
dc.description.abstractThis study aims to analyze the pattern of recent windstorm events by utilizing big data and GIS. In this study, the reported windstorm events in Twitter application were extracted using R-programming. Prior to analyses, the extracted data were screened to remove any outliers found. The extracted data were selected based on the credibility of its sources to ensure the accuracy and quality. These selected data were extracted from trusted users such as Meteorological Department of Malaysia (MMD), Berita Harian, Bernama and others.
dc.identifier.citationIsa, N. A., Salleh, S. A., Chan, A., Zakaria, N. H., Suif, Z., & Halim, M. A. (2022). Analyzing Windstorm Pattern in Malaysia based on Extracted Twitter Data. In IOP Conference Series: Earth and Environmental Science (Vol. 1019, No. 1, p. 012011). IOP Publishing.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/630
dc.languageen
dc.publisherIOP Publishing
dc.publisher.alternativeIOP Conference Series: Earth and Environmental Science
dc.subjectWindstorm
dc.subjectbig data
dc.subjectGIS
dc.subjectR-programming
dc.subjectSDG11
dc.subjectSDG13
dc.titleAnalyzing Windstorm Pattern in Malaysia based on Extracted Twitter Data
dc.typeJournal

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