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rRINEX provides tools to interact with your RINEX observation file that is created during surveys with GNSS receivers. It also bridges with RTKLIB to provide post-processing capabilities through its rnx2rtkp executable.

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rRINEX

Lifecycle: experimental

STILL BEING DEVELOPED, NOT YET OPERATIONAL !!

The goal of rRINEX is to provide [simple tools]{.underline} to analyse your RINEX observation files.

The idea is that the user simply uploads one or more RINEX OBS files, compressed or uncompressed and the app will try to:

  • show an initial rough position

  • create plots, provide SNR statistics etc….

  • download CORS data (NAV files) and other precise Ephemeris

  • provide user with some feedback on how to best post-process the data

We did not reinvent the wheel, and thus RTKLIB is used as backend. Download the observation data of a CORS (continuous operating reference stations) network from a GNSS data archive in the net. For now it connects to a user-provided list of CORS repositories, using a templated string just like RTKLIB’s URL_LIST.txt

http://www.epncb.oma.be/ftp/center/data/BKGI.RDC https://igs.bkg.bund.de/root_ftp/IGS/highrate/2020/263/l/

Installation and use example

You can install the released version of rRINEX from CRAN with:

install.packages("rRINEX")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("fpirotti/rRINEX")

To run the interface this software makes sure that you have all necessary packages installed so it might take a while to start the first time....

shiny::runApp(appDir = "data-raw/rtklibShinyApp/")

Examples

Some benchmarking

Reading a 5 MB (uncompressed) observation file with a total of 900 epochs and a total of 26701 readings takes 1.3s

About

rRINEX provides tools to interact with your RINEX observation file that is created during surveys with GNSS receivers. It also bridges with RTKLIB to provide post-processing capabilities through its rnx2rtkp executable.

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