Now showing items 1-7 of 7
Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
The purpose of this study is to compare the landslide susceptibility mapping methods of frequency ratio (FR), logistic regression and artificial neural networks (ANN) applied in the Kat County (Tokat-Turkey). Digital ...
A small-scale landslide susceptibility assessment for the territory of Western Carpathians
This study presented herein compares the bivariate and multivariate landslide susceptibility mapping methods and presents the landslide susceptibility map of the territory of Western Carpathians in small scale. This study ...
GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey)
(SPRINGER HEIDELBERG, 2009)
The case study presents GIS-aided statistically and physically based landslide susceptibility mapping in the landslide-prone Avutmus district of Sebinkarahisar (Giresun, Turkey). Field investigations, analysis of geological ...
Gypsum collapse hazards and importance of hazard mapping
Collapse in gypsum terrains is a serious geological hazard and can damage engineering structures, settlement areas, natural lakes, and allow infiltration of contaminants into the groundwater. Presentation of engineering ...
Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
This case study presented herein compares the GIS-based landslide susceptibility mapping methods such as conditional probability (CP), logistic regression (LR), artificial neural networks (ANNs) and support vector machine ...
The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks
This study presented herein compares the effect of the sampling strategies by means of landslide inventory on the landslide susceptibility mapping. The conditional probability (CP) and artificial neural networks (ANN) ...