Articles | Volume 8, issue 3
https://doi.org/10.5194/gmd-8-881-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-881-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
30 Mar 2015
Model description paper |
| 30 Mar 2015
An integrated user-friendly ArcMAP tool for bivariate statistical modelling in geoscience applications
M. N. Jebur
Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
B. Pradhan
CORRESPONDING AUTHOR
Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
H. Z. M. Shafri
Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
Z. M. Yusoff
Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
M. S. Tehrany
Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
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Cited
19 citations as recorded by crossref.
- Landslides Susceptibility Assessment Based on GIS Statistical Bivariate Analysis in the Hills Surrounding a Metropolitan Area P. Sestraș et al. 10.3390/su11051362
- A bivariate statistical analysis for coal exploration within parts of the Anambra Basin in Nigeria A. Musa et al. 10.1007/s41324-022-00440-x
- Mapping Susceptibility With Open-Source Tools: A New Plugin for QGIS G. Titti et al. 10.3389/feart.2022.842425
- A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng 10.3390/app12094333
- Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia S. Alqadhi et al. 10.1007/s11356-021-15886-z
- Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt A. Youssef et al. 10.1080/10106049.2022.2046866
- Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment J. Torizin et al. 10.5194/gmd-15-2791-2022
- Multi-Instrumental Approach to Slope Failure Monitoring in a Landslide Susceptible Newly Built-Up Area: Topo-Geodetic Survey, UAV 3D Modelling and Ground-Penetrating Radar P. Sestras et al. 10.3390/rs14225822
- An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox A. Polat 10.1007/s12665-021-09511-y
- Development of the Statistical Errors Raster Toolbox with Six Automated Models for Raster Analysis in GIS Environments S. Dimitriadou & K. Nikolakopoulos 10.3390/rs14215446
- Event-based landslide susceptibility mapping using weights of evidence (WoE) and modified frequency ratio (MFR) model: a case study of Rangamati district in Bangladesh S. Sifa et al. 10.1080/24749508.2019.1619222
- Geodetic and UAV Monitoring in the Sustainable Management of Shallow Landslides and Erosion of a Susceptible Urban Environment P. Sestras et al. 10.3390/rs13030385
- Analysis of bi-variate statistical and multi-criteria decision-making models in landslide susceptibility mapping in lower Mandakini Valley, India H. Mirdda et al. 10.1007/s10708-019-09991-3
- Creating Urban Flood Vulnerability Assessment tool for ArcMap Software using ModelBuilder and Python A. Khalili et al. 10.52547/jwmr.12.24.77
- A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
- An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox W. Huang et al. 10.3390/rs14143408
- Natural Hazard Characterisation in the Arribes del Duero Natural Park (Spain) L. Merchán et al. 10.3390/land12050995
- Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study H. Skilodimou et al. 10.1007/s12665-018-8003-4
- Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND A. Kornejady et al. 10.1080/10106049.2017.1334832
18 citations as recorded by crossref.
- Landslides Susceptibility Assessment Based on GIS Statistical Bivariate Analysis in the Hills Surrounding a Metropolitan Area P. Sestraș et al. 10.3390/su11051362
- A bivariate statistical analysis for coal exploration within parts of the Anambra Basin in Nigeria A. Musa et al. 10.1007/s41324-022-00440-x
- Mapping Susceptibility With Open-Source Tools: A New Plugin for QGIS G. Titti et al. 10.3389/feart.2022.842425
- A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng 10.3390/app12094333
- Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia S. Alqadhi et al. 10.1007/s11356-021-15886-z
- Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt A. Youssef et al. 10.1080/10106049.2022.2046866
- Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment J. Torizin et al. 10.5194/gmd-15-2791-2022
- Multi-Instrumental Approach to Slope Failure Monitoring in a Landslide Susceptible Newly Built-Up Area: Topo-Geodetic Survey, UAV 3D Modelling and Ground-Penetrating Radar P. Sestras et al. 10.3390/rs14225822
- An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox A. Polat 10.1007/s12665-021-09511-y
- Development of the Statistical Errors Raster Toolbox with Six Automated Models for Raster Analysis in GIS Environments S. Dimitriadou & K. Nikolakopoulos 10.3390/rs14215446
- Event-based landslide susceptibility mapping using weights of evidence (WoE) and modified frequency ratio (MFR) model: a case study of Rangamati district in Bangladesh S. Sifa et al. 10.1080/24749508.2019.1619222
- Geodetic and UAV Monitoring in the Sustainable Management of Shallow Landslides and Erosion of a Susceptible Urban Environment P. Sestras et al. 10.3390/rs13030385
- Analysis of bi-variate statistical and multi-criteria decision-making models in landslide susceptibility mapping in lower Mandakini Valley, India H. Mirdda et al. 10.1007/s10708-019-09991-3
- Creating Urban Flood Vulnerability Assessment tool for ArcMap Software using ModelBuilder and Python A. Khalili et al. 10.52547/jwmr.12.24.77
- A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
- An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox W. Huang et al. 10.3390/rs14143408
- Natural Hazard Characterisation in the Arribes del Duero Natural Park (Spain) L. Merchán et al. 10.3390/land12050995
- Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study H. Skilodimou et al. 10.1007/s12665-018-8003-4
Saved (final revised paper)
Latest update: 24 Apr 2024
Short summary
The main contributions of this manuscript are
• A novel and easy to use ArcMap tool is proposed for bivariate statistical analysis model implementation.
• The developed tool facilitated and sped up the BSA modelling process of frequency ratio, weights of evidence, and evidential belief function.
• This tool classifies the variables based on the acquired weights automatically.
• All three methods were tested on a study area and landslide susceptibility maps were produced.
The main contributions of this manuscript are
• A novel and easy to use ArcMap tool is...
