GIS-Based Binary Logistic Regression for Landslide Susceptibility Mapping in the Central Part of Pacitan Regency, East Java, Indonesia | Zendy

Muhammad Dimyati | Zendy; Iqbal Putut Ash Shidiq | Zendy; Dimas Bayu Ichsandya | Zendy

Open Access

GIS-Based Binary Logistic Regression for Landslide Susceptibility Mapping in the Central Part of Pacitan Regency, East Java, Indonesia

Author(s) -

Muhammad Dimyati,

Iqbal Putut Ash Shidiq,

Dimas Bayu Ichsandya

Publication year - 2022

Publication title -

international journal on advanced science engineering and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 22

eISSN - 2460-6952

pISSN - 2088-5334

DOI - 10.18517/ijaseit.12.4.16221

Subject(s) - landslide , logistic regression , topographic wetness index , geographic information system , elevation (ballistics) , geology , volcano , physical geography , normalized difference vegetation index , vegetation (pathology) , lithology , hydrology (agriculture) , geomorphology , geography , climate change , remote sensing , seismology , statistics , geochemistry , oceanography , mathematics , geometry , geotechnical engineering , medicine , pathology

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