Statistical Analysis and Tectonic Implications of Drainage Network in Southern Haiti

This dataset is associated with the paper intitled "Machine Learning Constraints on Fault Geometry and Landscape Evolution in Southern Haiti" by Newdeskarl Saint Fleur. - Saint_Fleur_catchment_data.csv contains all the relative to the data relative to the watersheds extracted from ASTER DEM. The column names are intruitive and informative. Examples: ws_location_n_s stands for location of watershed (ws) either the broader north or broader south (n_s); 'ws_location_n_s_only' corresponds to strictly north and south; ws_geology identifies the geological units underlying the watersheds; main_river_aster_topo_mean stands for the mean topography (elevation) of the main river of the watersheds; hi stands for hypsometric integral. - Saint_Fleur_channel_data.csv retakes the column names in Saint_Fleur_catchment_data.csv with a few specifications to rivers.- Saint_Fleur_correlation_matrix.xlsx: correlation matrix table of the numerical variables (columns).-Saint_Fleur_boxplot_for_outliers.png : Boxplots for checking outliers.- Saint_Fleur_Chi2_Test_All_CategVar.csv contains table of the Chi-2 test of caterogical variables-Saint_Fleur_ShapiroWilkTest_UntransformedData.csv , Saint_Fleur_ShapiroWilkTest_Log10TransformedData.csv , Saint_Fleur_ShapiroWilkTest_Log1pTransformedData.csv correspond to results of Shapiro-Wilk test with untransformed and transformed data (Log10 and Log1).-Saint_Fleur_ShapiroTests.png : Shapiro-Wilk test visualization -Saint_Fleur_anova_results.csv : Anova test results-Saint_Fleur_anova_fig.png : Anova test visualization -Saint_Fleur_kruskal_wallis_results.csv : Kruskal-Wallis results-Saint_Fleur_kruskal_wallis_fig.png: Kruskal-Wallis visualization -Saint_Fleur_variance_inflation_factor.csv : Variace inflation faction for feature selection.-Saint_Fleur_n_clusters_different_metrics.png : Different metrics for choosing the number of clusters.-Saint_Fleur_visualization_of_clusters_for_different_k.png : Cluster visualization for different k (number of clusters).