Ahyuni, Bigharta Bekti Susetyo, Isra Haryati Diva, Zakiyah Mar’ah, Hamdi Nur, Adenan Yandra Nofrizal, Azwirda Aziz
Landslide susceptibility zonation is necessary to be considered in regional land use planning. Various approaches and analytical methods using GIS software have been applied to zone the area. However, there are constraints in its use, such as the cost to get license software and a given source code that cannot be accessed and manipulated by users. The recent development of free and open-source software such as R programming language for data analysis and graphics has opened up opportunities for users to reevaluate, modify and develop further the programming algorithm. Considering these issues, the study aims to develop a coding and syntax model of dominant factors controlling landslides and generate a landslides susceptibility map in R program which can be accessed by users. This study applies the WoE (Weight of Evidence) method as a part of the statistical approach which is appropriate for assessing landslides in a medium-scale area to inform the regional spatial planning. The case study of modeling is Limapuluh Kota Regency in West Sumatra Province of Indonesia, a hilly and mountainous region where most of its districts are prone to landslides. Eight of eleven factors (geology, landform, land cover, elevation, the density of vegetation greenness, slope, rainfall intensity, and proximity to stream) were considered to control landslides which set up four classes of landslide susceptibility zone (very low, low, moderate, and high). © Copyright Ahyuni et al.
Department of Geography, Universitas Negeri Padang, Indonesia; Department of Statistika, Universitas Negeri Makassar, Indonesia; Department of Urban and Regional Planning, Universitas Bung Hatta, Indonesia; Graduate School of Integrated Science and Technology, Shizuoka University, Japan; Accounting Departement, STIE Swadaya, Indonesia
