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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:
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show an initial rough position
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create plots, provide SNR statistics etc….
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download CORS data (NAV files) and other precise Ephemeris
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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/
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/")Reading a 5 MB (uncompressed) observation file with a total of 900 epochs and a total of 26701 readings takes 1.3s