StaMPS (Stanford Method for Persistent Scatterers) is a software package that allows to extract ground displacements from time series of synthetic aperture radar (SAR) acquisitions (https://github.com/dbekaert/StaMPS). Since statistical analyses (deformation mean, median, standard deviation etc.) of PS points in a timeseries are not possible within the Stamps Visualizer (https://github.com/thho/StaMPS_Visualizer) itself, the analysis has to be done manually.

This package serves for the conversion of StaMPS Visualizer output CSVs into analysis-ready data for the use in RStudio. For further information on the working steps see the documentation below.

1. The analysis.py script converts the input CSV into a standard R-readable CSV file of rows and columns, in which every row corresponds to a PS point with an ID, x coordinate, y coordinate, the deformation trend over the whole timeseries, as well as the deformation at a certain date. All user-dependent input can be specified in the main.py script.

2. The output file could be loaded into RStudio and analyzed by the statistics.R script provided within this package. It is possible to analyze a specific parameter for all PS points (Section 1, standard R analysis format) as well as the analysis of all parameters for a specific PS point (Section 2).