A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping

A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping

This research was conducted to determine which areas in the Robat Turk watershed in Iran are sensitive to gully erosion, and to define the relationship between gully erosion and geo-environmental factors by two data mining techniques, namely, Random Forest (RF) and k-Nearest Neighbors (KNN). First,...

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Bibliographic Details
Main Authors: Mohammadtaghi Avand, Saeid Janizadeh, Seyed Amir Naghibi, Hamid Reza Pourghasemi, Saeid Khosrobeigi Bozchaloei, Thomas Blaschke
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Water
Subjects:
gully erosion
random forest
knn
geo-environmental factors
robat turk area
Online Access:https://www.mdpi.com/2073-4441/11/10/2076

Internet

https://www.mdpi.com/2073-4441/11/10/2076

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