Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia
by
Rasyid, Abdul Rachman
, Bhandary, Netra P.
, Yatabe, Ryuichi
in
Accuracy
/ Area
/ Curvature
/ Data
/ Distance
/ Earth
/ Earth and Environmental Science
/ Earth Sciences
/ Environment
/ Environmental Science and Engineering
/ Flash flooding
/ Flash floods
/ Geoecology/Natural Processes
/ Geographical information systems
/ Geography
/ Inventories
/ Inventory management
/ Land use
/ Landslides
/ Landslides & mudslides
/ Lithology
/ Methodology
/ Model accuracy
/ Mountain regions
/ Natural Hazards
/ Regression analysis
/ Regression models
/ Rivers
/ Statistical analysis
/ Statistical methods
/ Training
2016
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia
by
Rasyid, Abdul Rachman
, Bhandary, Netra P.
, Yatabe, Ryuichi
in
Accuracy
/ Area
/ Curvature
/ Data
/ Distance
/ Earth
/ Earth and Environmental Science
/ Earth Sciences
/ Environment
/ Environmental Science and Engineering
/ Flash flooding
/ Flash floods
/ Geoecology/Natural Processes
/ Geographical information systems
/ Geography
/ Inventories
/ Inventory management
/ Land use
/ Landslides
/ Landslides & mudslides
/ Lithology
/ Methodology
/ Model accuracy
/ Mountain regions
/ Natural Hazards
/ Regression analysis
/ Regression models
/ Rivers
/ Statistical analysis
/ Statistical methods
/ Training
2016
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia
by
Rasyid, Abdul Rachman
, Bhandary, Netra P.
, Yatabe, Ryuichi
in
Accuracy
/ Area
/ Curvature
/ Data
/ Distance
/ Earth
/ Earth and Environmental Science
/ Earth Sciences
/ Environment
/ Environmental Science and Engineering
/ Flash flooding
/ Flash floods
/ Geoecology/Natural Processes
/ Geographical information systems
/ Geography
/ Inventories
/ Inventory management
/ Land use
/ Landslides
/ Landslides & mudslides
/ Lithology
/ Methodology
/ Model accuracy
/ Mountain regions
/ Natural Hazards
/ Regression analysis
/ Regression models
/ Rivers
/ Statistical analysis
/ Statistical methods
/ Training
2016
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia
Journal Article
Performance of frequency ratio and logistic regression model in creating GIS based landslides susceptibility map at Lompobattang Mountain, Indonesia
2016
Request Book From Autostore
and Choose the Collection Method
Overview
The purposes of this study is to create a landslide susceptibility map (LSM) for Lompobattang Mountain area in Indonesia. The foot of the Lompobattang Mountain area suffered flash flood and landslides in 2006, which led to significant adverse impact on the nearby settlements. There were 158 identified landslides covering a total area of 3.44 km
2
. Landslide inventory data were collected using google earth image interpretations. The landslide inventories were prepared out of the past landslide events, and future landslide occurrence was predicted by correlating landslide causal factors. In this study landslide inventories were divided into landslide data for training and landslide data for validation. The LSM was prepared by Frequency Ratio (FR) and Logistic Regression (LR) statistical methods. Lithology, distance from the road, distance from the river, distance from the fault, land use, curvature, aspect, and slope degree were used as conditioning parameters. Area under the curve (AUC) of the Receiver Operating Characteristic (ROC) was used to check the performance of the models. In the analysis, the FR model results in 85.8 % accuracy in the AUC success rate while the LR model was found to have 86.9 % accuracy. However, the accuracy of both these models in AUC predictive rate is the same at around 85.1 %. The LR model is 6.34 % higher than the FR model in comparison to its accuracy for ratio of landslide validation. The landslide susceptibility map consist of the predicted landslide area, hence it can be used to reduce the potential hazard associated with the landslides in this study area.
Publisher
Springer International Publishing,Springer Nature B.V
This website uses cookies to ensure you get the best experience on our website.