iGPS: IDL tool package for GPS position time series analysis

被引：0
|
作者：
Yunfeng Tian
机构：
[1] State Key Laboratory of Earthquake Dynamics,
[2] Institute of Geology,undefined
[3] China Earthquake Administration,undefined
[4] Institute of Crustal Dynamics,undefined
[5] China Earthquake Administration,undefined
来源：
GPS Solutions | 2011年 / 15卷
关键词：
GPS; Position time series; Offsets; Post-seismic relaxation; Common-mode errors; Interactive Data Language;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new tool package written in Interactive Data Language (IDL) was developed for processing and analyzing daily continuous GPS position time series. This software package can read continuous GPS position time series in various formats, detect outliers, remove abnormal observation spans, locate epochs of offsets or post-seismic relaxation events, and estimate their amplitudes. It also provides functionalities for epoch statistics, site selection, periodic noise analysis, spatial filtering (by regional stacking), etc. This tool is referred to as iGPS.
引用
收藏
页码：299 / 303
页数：4
相关论文
共 50 条
  • [31] GPS interactive time series analysis software
    Mohammad Ali Goudarzi
    Marc Cocard
    Rock Santerre
    Tsehaie Woldai
    GPS Solutions, 2013, 17 : 595 - 603
  • [32] GPS interactive time series analysis software
    Goudarzi, Mohammad Ali
    Cocard, Marc
    Santerre, Rock
    Woldai, Tsehaie
    GPS SOLUTIONS, 2013, 17 (04) : 595 - 603
  • [33] DERIVING COMMON SEASONAL SIGNALS IN GPS POSITION TIME SERIES BY USING MULTICHANNEL SINGULAR SPECTRUM ANALYSIS
    Gruszczynska, Marta
    Klos, Anna
    Rosat, Severine
    Bogusz, Janusz
    ACTA GEODYNAMICA ET GEOMATERIALIA, 2017, 14 (03): : 273 - 284
  • [34] Optimal Strategy of a GPS Position Time Series Analysis for Post-Glacial Rebound Investigation in Europe
    Bogusz, Janusz
    Klos, Anna
    Pokonieczny, Krzysztof
    REMOTE SENSING, 2019, 11 (10)
  • [35] A method for detecting transient signals in GPS position time-series: smoothing and principal component analysis
    Ji, Kang Hyeun
    Herring, Thomas A.
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2013, 193 (01) : 171 - 186
  • [36] Ordinal Time Series Analysis with the R Package otsfeatures
    Lopez-Oriona, Angel
    Vilar, Jose A.
    MATHEMATICS, 2023, 11 (11)
  • [37] KarsTS: an R package for microclimate time series analysis
    M. Sáez
    C. Pla
    S. Cuezva
    D. Benavente
    Earth Science Informatics, 2019, 12 : 685 - 697
  • [38] DChaos: An R Package for Chaotic Time Series Analysis
    Sandubete, Julio E.
    Escot, Lorenzo
    R JOURNAL, 2021, 13 (01): : 232 - 252
  • [39] NTS: An R Package for Nonlinear Time Series Analysis
    Liu, Xialu
    Chen, Rong
    Tsay, Ruey
    R JOURNAL, 2020, 12 (02): : 293 - 310
  • [40] Algorithms for linear time series analysis: With R package
    McLeod, A. Ian
    Yu, Hao
    Krougly, Zinovi L.
    JOURNAL OF STATISTICAL SOFTWARE, 2007, 23 (05):
12345