Analyzing Windstorm Pattern in Malaysia based on Extracted Twitter Data
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
IOP Publishing
Abstract
This 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.
Description
Keywords
Windstorm, big data, GIS, R-programming, SDG11, SDG13
Citation
Isa, 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.