Abstract
In geodesy and geophysics, continuous GNSS observations have been used globally. As the number of GNSS observing stations increases, GNSS time series analysis software should be developed with more flexible format support, better man–machine interaction, and robust analysis characteristics. To meet this requirement, a new software package called TSAnalyzer was written in Python and was developed for preprocessing and analyzing continuous GNSS position time series individually, as well as with batch processing. This software can read GNSS position time series with different formats, pick epochs of offsets or seismic events interactively, remove outliers, and estimate linear, polynomial, and harmonic signals. It also provides Lomb–Scargle spectrum analysis. Since it is based on Python, it is cross-platform.
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Acknowledgements
We are grateful to the authors mentioned above, Herring, Tian, Williams, Goudarzi and Vitti, for their open source and dedication. We also want to thank the developers of Numpy, Matplotlib, Astropy and so on, for their selfless contributions to the Python community. We would like to thank the anonymous reviewer for the insightful review comments and helpful instructions. This research is supported by research projects of the National Natural Science Foundation of China (Grants No. 41621091, 41374087, 41504066 and 41674084).
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The GPS Tool Box is a column dedicated to highlighting algorithms and source code utilized by GPS engineers and scientists. If you have an interesting program or software package, you would like to share with our readers, please pass it along; e-mail it to us at gpstoolbox@ngs.noaa.gov. To comment on any of the source code discussed here, or to download source code, visit our Web site at http://www.ngs.noaa.gov/gps-toolbox. This column is edited by Stephen Hilla, National Geodetic Survey, NOAA, Silver Spring, Maryland, and Mike Craymer, Geodetic Survey Division, Natural Resources Canada, Ottawa, Ontario, Canada.
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Wu, D., Yan, H. & Shen, Y. TSAnalyzer, a GNSS time series analysis software. GPS Solut 21, 1389–1394 (2017). https://doi.org/10.1007/s10291-017-0637-2
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DOI: https://doi.org/10.1007/s10291-017-0637-2