Indonesian Journal of Electrical Engineering and Computer Science
Vol 16, No 2: November 2019

Analysis of landslide hazard mapping of penang island malaysia using bivariate statistical methods

Ilyas A Huqqani (USM Engineering Campus)
Lea Tien Tay (USM Engineering Campus)
Junita Mohamad Saleh (USM Engineering Campus)



Article Info

Publish Date
01 Nov 2019

Abstract

Landslide is one of the disasters which cause property damages, infrastructure destruction, injury and death. This paper presents the analysis of landslide hazard mapping of Penang Island Malaysia using bivariate statistical methods. Bivariate statistical methods are simple approach which are capable to produce good results in short computational time. In this study, three bivariate statistical methods, i.e. Frequency Ratio (FR), Information Value (IV) and Modified Information Value (MIV) are used to generate the landslide hazard maps of Penang Island. These bivariate statistical methods are computed using MATLAB tool. Landslide hazard map is categorized into 4 levels of hazard. The accuracy of each method and effectiveness in predicating landslides are validated and determined by using Receiver of Characteristics curve. The accuracies of FR, IV and MIV methods are 79.58%, 79.14% and 79.37% respectively.

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