
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/international journal of 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