Shallow landslide susceptibility mapping: A comparison between classification and regression tree and reduced error pruning tree algorithms
نویسندگان
چکیده
منابع مشابه
Landslide susceptibility mapping using logistic regression analysis in Latyan catchment
Every year, hundreds of people all over the world lose their lives due to landslides. Landslide susceptibility map describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages. The main purpose of this study is to provide landslide susceptibility map using logistic regression model at Latyan watershed, north Iran. I...
متن کاملShallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree
The main purpose of this paper is to present some potential applications of sophisticated data mining techniques, such as artificial neural network (ANN) and boosted tree (BT), for landslide susceptibility modeling in the Yongin area, Korea. Initially, landslide inventory was detected from visual interpretation using digital aerial photographic maps with a high resolution of 50 cm taken before ...
متن کاملClassification and Regression Tree Methods
A classification or regression tree is a prediction model that can be represented as a decision tree. This article discusses the C4.5, CART, CRUISE, GUIDE, and QUEST methods in terms of their algorithms, features, properties, and performance.
متن کاملClassification and Regression Tree Construction
Decision trees, either classification or regression trees, are especially attractive type of models for three main reasons. First, they have an intuitive representation, the resulting model is easy to understand and assimilate by humans [BFOS84]. Second, the decision trees are nonparametric models, no intervention being required from the user, and thus they are very suited for exploratory knowl...
متن کاملForest Stand Types Classification Using Tree-Based Algorithms and SPOT-HRG Data
Forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. Traditional methods such as field surveys are almost time-consuming and cost-intensive. Improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. This research co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: VIETNAM JOURNAL OF EARTH SCIENCES
سال: 2020
ISSN: 0866-7187,0866-7187
DOI: 10.15625/0866-7187/42/3/14952