Spanish Dataset for Automatic Classification of Ground Deformation Processes

This .rar file contains five files used for training and testing a machine learning algorithm for the automatic classification of ground deformation processes. Four CSV files: MPs.csv, 50m.csv, 100m.csv, and 200m.csv. Each file represents a dataset with different scales and contains:• An ID column for each unique record.• A geometry column indicating the coordinates of each record.• A processes column indicating the ground deformation process for each record. The considered processes are: Natural landslide, Mining landslide, Constructive subsidence, Mining subsidence, and Piezometric subsidence• 32 columns, one for each predictive variable, including information about ground deformation, geology, morphometry, climate, and land use.One Word file: Contains the full description of each variable included in the CSV files, as well as the interpretation of the IDs assigned to each record. This dataset allows reproducing experiments on the automatic classification of ground deformation processes and serves as a basis for geospatial analysis.