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This tool package is called Feature Engineering, and it was developed to help some stages of landslide susceptibility mapping based on integrating R with ArcMap Software. The proposed toolbox contains 4 main modules namely: (1) Semi-Automatic Feature Selection (DP), (2) Feature Binning, (3) Feature Weighting, and (4) Frequency Ratio.

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emrehanks/R-ArcGIS_Feature-Engineering_ToolPack

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A Semi-Automatic Feature Engineering Toolbox for Landslide Susceptibility Mapping: FE.LSM Tool Pack

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Sahin, E.K. Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost. Stoch Environ Res Risk Assess (2022). https://doi.org/10.1007/s00477-022-02330-y https://link.springer.com/article/10.1007/s00477-022-02330-y

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This tool package is called Feature Engineering, and it was developed to help some stages of landslide susceptibility mapping based on integrating R with ArcMap Software. The proposed toolbox contains 4 main modules namely: (1) Semi-Automatic Feature Selection (DP), (2) Feature Binning, (3) Feature Weighting, and (4) Frequency Ratio.

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