Uncovering controlling factors on rock glacier velocities in the Pamir-Karakoram-Kunlun region using explainable machine learning

This dataset includes the data and codes used in the study "Uncovering controlling factors on rock glacier velocities in the Pamir-Karakoram-Kunlun region using explainable machine learning". Below are the content of each directory in this dataset: 1. data_preparation PKK_RoG.xlsx: attribute table of the analyzed rock glaciers in the Pamir-Karakoram-Kunlun region data_preparation.ipynb: code for forming modeling samples from PKK_RoG.xlsx data: modeling samples, output from data_preparation.ipynb 2. topoclimate_characteristics plot_topoclimate.ipynb: codes for plotting the topographic and climatic distributions of glacier- and talus-connected rock glaciers 3. machine_learning_modeling SVM.ipynb: codes for performing machine learning modeling using Support Vector Machine XGBoost.ipynb: codes for performing machine learning modeling using Extreme Gradient Boost RF.ipynb: codes performing machine learning modeling using Random Forest BPNN.ipynb: codes for performing machine learning modeling using Back Propagation Neural Network 4. SHAP_analysis SVM_SHAP.ipynb: codes for performing SHAP analysis based on the output from Support Vector Machine model XGBoost_SHAP.ipynb: codes for performing SHAP analysis based on the output from Extreme Gradient Boost model RF_SHAP.ipynb: codes for performing SHAP analysis based on the output from Random Forest model BPNN_SHAP.ipynb: codes for performing SHAP analysis based on the output from Back Propagation Neural Network model