GNSS-Vel-95CI 1.0.7

A Python program for calculating the 95 percent CI for GNSS derived site velocities

GNSS_Vel_95CI

A Python program for calculating the 95%CI for GNSS-derived site velocities, by B. Cornelison and G. Wang. GNSS_Vel_95CI calculates the site velocity and the 95%CI for a given GNSS-derived daily displacement time series using methods outlined in Wang (2022). The plots and text files containing the calculated results can be controlled in the function calls.

Important Links

GitHub repositories: GitHub1, Github2

Pypi package index: pip

This module can be called as:

from GNSS_Vel_95CI import cal_95CI

Installation and Dependencies

You may need to install "statsmodels" on your computer if you have not used it before, which is the only dependency used that is not in the standard Python library.

Install statsmodel example:

pip install statsmodels

Use the package manager pip to install GNSS_VEL_95CI

pip install GNSS_Vel_95CI

To uninstall GNSS_Vel_95CI:

pip uninstall GNSS_Vel_95CI

To show current version of GNSS_Vel_95CI:

python -m pip show GNSS_Vel_95CI

In order to upgrade versions, use the following command:

python -m pip install -U GNSS_Vel_CI95

Basic usage

GNSS file example

Decimal-Year  NS(cm)  EW(cm)  UD(cm)
An example of 'fin': UH01_GOM20_neu_cm.col
Decimal-Year      NS(cm)       EW(cm)       UD(cm)  sigma-NS(cm)  sigma-EW(cm)  sigma-UD(cm)
2012.7447       0.0501       0.1444       0.3072       0.0495       0.0217       0.0541
2012.7474       0.0336      -0.1013      -0.3132       0.0485       0.0208       0.0527
2012.7502      -0.1226       0.0234       0.3309       0.0499       0.0215       0.0544
2012.7529      -0.0505      -0.0609      -0.4559       0.0487       0.0217       0.0534

Basic script example

import os
import pandas as pd
from GNSS_Vel_95CI import cal_95CI

# loop through EW, NS and UD columns
directory = './'   # for unix directory (for windows use windows directory)
for fin in os.listdir(directory):
   if fin.endswith("neu_cm.col"):
      print(fin)
      GNSS = fin[0:4]    # station name, e.g., UH01
      ts_enu = []
      ts_enu = pd.read_csv (fin, header=0, delim_whitespace=True)
      year = ts_enu.iloc[:,0]    # decimal year

      dis = ts_enu.iloc[:,1]     # NS
      result_NS=cal_95CI(year,dis,GNSS,DIR='NS',output='on', pltshow='on')
      b_NS=round(result_NS[0],2)          # slope, or site velocity
      b_NS_95CI=round(result_NS[1],2)      # The 95%CI of slope

      dis = ts_enu.iloc[:,2]     # EW
      result_EW=cal_95CI(year,dis,GNSS,DIR='EW',output='on',pltshow='on')
      b_EW=round(result_EW[0],2)
      b_EW_95CI=round(result_EW[1],2)
    
      dis = ts_enu.iloc[:,3]     # UD
      result_UD=cal_95CI(year,dis,GNSS,DIR='UD',output='on',pltshow='on')
      b_UD=round(result_UD[0],2)
      b_UD_95CI=round(result_UD[1],2)
   
   else:
      continue

Example Figures

Detailed Method

Methods_Vel_95CI.pdf

Contributing

Pull requests are welcome and comments. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate and contact: [e-mail] or [e-mail]

Citation

If you use GNSS_Vel_95CI in a scientific publication, we would appreciate citations to the following paper. Wang, G. (2022). The 95% Confidence Interval for GNSS-Derived Site Velocities, J. Surv. Eng. 2022, 148(1): 04021030. http://doi.org/10.1061/(ASCE)SU.1943-5428.0000390

Licence

GNU

Copyright (c) 2021 Brendan Cornelison, Guoquan Wang

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

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