Landslide susceptibility mapping using logistic regression analysis in Latyan catchment

Landslide Susceptibility Mapping in a Himalayan Road Corridor Using Bayesian Logistic Regression Models

GIS-based logistic regression method for landslide susceptibility mapping in regional scale

Landslide susceptibility map is one of the study fields portraying the spatial distribution of future slope failure susceptibility. This paper deals with past methods for producing landslide susceptibility map and divides these methods into 3 types. The logistic linear regression approach is further elaborated on by crosstabs method, which is used to analyze the relationship between the categor...

Predictive Mapping of Blackberry in the Condamine Catchment Using Logistic Regression and Spatial Analysis

The development of control strategies for noxious weeds depends on reliable information about the location and extent of weed species. Consequently, there is a need to develop mapping and monitoring techniques that are accurate, costeffective and reliable. This paper investigated predictive modelling and mapping techniques for blackberry (Rubus fruticosus agg.) weed in the Condamine Catchment. ...

Validation of Logistic Regression Model for Landslide Susceptibility Mapping at Ganeoung Areas, Korea

Landslides as major natural geological hazards often result in significant harm to people and property. Between 20 and 31 August, 2002, Typhoon Rusa hit the Gangneung area as a storm associated with heavy rainfall. The maximum daily rainfall amounted to 609 mm, with 80 mm per hour. The consequence was the death of 266 people. Damage to property amounted to an approximate value of US$ 8 billion....

Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment

Landslides are usually initiated under complex geological conditions. It is of great significance to find out the optimal combination of predisposing factors and create an accurate landslide susceptibility map based on them. In this paper, the Information Value Model was modified to make the Modified Information Value (MIV) Model, and together with GIS (Geographical Information System) and AUC ...

land slide hazard susceptibility mapping and its evaluation using the statistics analysis logistic regression

abstract aim of this research is landslide hazard zoning in syahdare watershed using logistic regression. therefore, outset landslide points recognized using air photography and extensive field studies. then distribution of landslide map was makes. then each effective element on landslide occurred for example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage...