GPS interactive time series analysis software

  • Authors:

  • Mohammad Ali Goudarzi;Marc Cocard;Rock Santerre;Tsehaie Woldai

  • Affiliations:

  • Department of Geomatics Sciences, Laval University, Quebec, Canada G1V 0A6;Department of Geomatics Sciences, Laval University, Quebec, Canada G1V 0A6;Department of Geomatics Sciences, Laval University, Quebec, Canada G1V 0A6;Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands 7500

  • Venue:
  • GPS Solutions
  • Year:
  • 2013

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Abstract

Time series analysis is an important part of geodetic and geodynamic studies, especially when continuous GPS observations are used to explore areas with a low rate of deformation. In this domain, having precise and robust tools for processing and analyzing position time series is a prerequisite. To meet this requirement, a new software package called GPS Interactive Time Series Analysis was developed using the MATLAB language. Along with calculating basic statistics and quality parameters such as mean and variance, the software is capable of importing and visualizing different time series formats, determining and removing jumps and outliers, interpolating data, and producing numerical and publication quality graphical outputs. Furthermore, bivariate statistical analysis (such as correlation coefficients, curvilinear and nonlinear regression), residual analysis, and spectral analysis (such as auto-spectrum, Lomb---Scargle spectrum, evolutionary power spectrum, and wavelet power spectrum) form the main analysis features of the software.