Spatial Pattern Analysis on Landslide Incidents in Kuala Lumpur, Malaysia

Abstract

Landslide occurrences increase alongside the urbanization rate in developing countries. Hence, the need tovisualize the distribution pattern of increases is essential for the management of landslide cases, especiallyin Malaysia. Thus, a landslide monitoring system is proposed for landslide risk areas using computer generatedmodeling to perform spatial distribution patterns, which is important for management andcontrol. The purpose of this study is to evaluate the pattern of distribution and determine whether it isclustered or dispersed. A total of 145 landslide incidents were distributed in Kuala Lumpur. This paper will be focusing on one of the spatial pattern analyses, which is the spatial mean centre of the landslideincidents. It is found that the distribution pattern for landslide events is clustered. Meanwhile, the z-scoreis -4.091522 and there is a less than 1% likelihood. The nearest neighbor ratio is 0.82. Further studies toidentify factors that contribute to landslide incidents in the urban Kuala Lumpur are required for landslidesmitigation in the future.