ts_dip is a Python script that performs a basic time series analysis using data from permanent GNSS stations

To perform the computations, 'ts_dip.py' needs an imput .cts file.

.cts files contain the solutions of GNSS stations [Observation Dates, Coordinates, Solution Dates]

Using the following Ground movement model:

y = a * x + b + c1 * math.sin(w1 * x) + d1 * math.cos(w1 * x) + c2 * math.sin(w2 * x) + d2 * math.cos(w2 * x) + J1 + .. + Jn

Executes the following steps:

• Parsing data from cts files
• Converting geocentric to topocentric coordinates
• Using Least Squares algorythms to estimate the parameters of the model
• Detecting outliers and removing them

• Visualises the generated model
• Prints the parameters of the estimated model

The work is licensed under MIT-license