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