4.7 Article

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geosciences, Multidisciplinary

Debris flow impact assessment along the Al-Raith Road, Kingdom of Saudi Arabia, using remote sensing data and field investigations

Ahmed M. Youssef et al.

GEOMATICS NATURAL HAZARDS & RISK (2016)

Article Environmental Sciences

Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran

Zohre Sadat Pourtaghi et al.

ENVIRONMENTAL EARTH SCIENCES (2015)

Article Anthropology

The Use of Generalized Linear Models and Generalized Estimating Equations in Bioarchaeological Studies

Efthymia Nikita

AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY (2014)

Article Engineering, Electrical & Electronic

A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling

Racha Elkadiri et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Environmental Sciences

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

A. Jaafari et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2014)

Article Geosciences, Multidisciplinary

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

Natan Micheletti et al.

MATHEMATICAL GEOSCIENCES (2014)

Article Environmental Sciences

Overview of some geological hazards in the Saudi Arabia

Ahmed M. Youssef et al.

ENVIRONMENTAL EARTH SCIENCES (2013)

Article Geosciences, Multidisciplinary

Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues

F. Catani et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2013)

Article Computer Science, Interdisciplinary Applications

An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm

A. Akgun et al.

COMPUTERS & GEOSCIENCES (2012)

Article Ecology

How can statistical models help to determine driving factors of landslides?

Peter Vorpahl et al.

ECOLOGICAL MODELLING (2012)

Proceedings Paper Engineering, Aerospace

Remote Sensing Data Derived Parameters and Its Use in Landslide Susceptibility Assessment using Shannon's Entropy and GIS

Hamid Reza Pourghasemi et al.

AEROTECH IV: RECENT ADVANCES IN AEROSPACE TECHNOLOGIES (2012)

Article Geosciences, Multidisciplinary

Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models

Biswajeet Pradhan et al.

ARABIAN JOURNAL OF GEOSCIENCES (2010)

Article Biochemical Research Methods

Letter to the Editor: Stability of Random Forest importance measures

M. L. Calle et al.

BRIEFINGS IN BIOINFORMATICS (2010)

Article Engineering, Geological

Landslide susceptibility mapping in Injae, Korea, using a decision tree

Young-Kwang Yeon et al.

ENGINEERING GEOLOGY (2010)

Article Engineering, Multidisciplinary

Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey

H. A. Nefeslioglu et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2010)

Article Engineering, Environmental

A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks

Isik Yilmaz

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2009)

Article Ecology

A working guide to boosted regression trees

J. Elith et al.

JOURNAL OF ANIMAL ECOLOGY (2008)

Article Engineering, Geological

Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation

E. A. Castellanos Abella et al.

LANDSLIDES (2007)

Article Ecology

Random forests for classification in ecology

D. Richard Cutler et al.

ECOLOGY (2007)

Article Social Sciences, Interdisciplinary

A caution regarding rules of thumb for variance inflation factors

Robert M. O'Brien

QUALITY & QUANTITY (2007)

Review Engineering, Environmental

Engineering geology maps:: landslides and geographical information systems

J. Chacon et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2006)

Review Engineering, Environmental

Landslide hazard and risk zonation - why is it still so difficult?

C. J. van Westen et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2006)

Article Computer Science, Artificial Intelligence

Random Forests for land cover classification

PO Gislason et al.

PATTERN RECOGNITION LETTERS (2006)

Article Biochemical Research Methods

Gene selection and classification of microarray data using random forest -: art. no. 3

R Díaz-Uriarte et al.

BMC BIOINFORMATICS (2006)

Article Biochemical Research Methods

Prediction of protein-protein interactions using random decision forest framework

XW Chen et al.

BIOINFORMATICS (2005)

Article Geochemistry & Geophysics

Investigation of the random forest framework for classification of hyperspectral data

J Ham et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)

Article Remote Sensing

Random forest classifier for remote sensing classification

M Pal

INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)

Article Geosciences, Multidisciplinary

Spatial prediction models for landslide hazards: review, comparison and evaluation

A Brenning

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2005)

Article Geosciences, Multidisciplinary

Validation of spatial prediction models for landslide hazard mapping

CJF Chung et al.

NATURAL HAZARDS (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Environmental Sciences

Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong

FC Dai et al.

ENVIRONMENTAL GEOLOGY (2001)