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Trend analysis of sea level changes using IBM SPSS software
In this study, trend analysis of the sea level observations was made by using data from Sinop and Antalya tide gauge stations in Turkey. The aforementioned data were downloaded as free from the General Command of Mapping website by using the web portal of Turkish National Sea Level. Hourly data gathered between 17th November 1998 and 15th January 2018 from Antalya tide gauge station were used. Data with 15-minute intervals between 18th June 2005 and 25th October 2016 were used in Sinop tide gauge station. Sea level data provided by the portal of Turkish National Sea Level were gathered using local datum of the stations. Trend analysis of the sea level observations was made by assessing the downloaded data using SPSS 16.0 package software. In determination of trend presence, simple linear regression analysis was used in addition to nonparametric tests Kendall's tau-b and Spearman's Rho.
Trend analysis of sea level changes using IBM SPSS software
In this study, trend analysis of the sea level observations was made by using data from Sinop and Antalya tide gauge stations in Turkey. The aforementioned data were downloaded as free from the General Command of Mapping website by using the web portal of Turkish National Sea Level. Hourly data gathered between 17th November 1998 and 15th January 2018 from Antalya tide gauge station were used. Data with 15-minute intervals between 18th June 2005 and 25th October 2016 were used in Sinop tide gauge station. Sea level data provided by the portal of Turkish National Sea Level were gathered using local datum of the stations. Trend analysis of the sea level observations was made by assessing the downloaded data using SPSS 16.0 package software. In determination of trend presence, simple linear regression analysis was used in addition to nonparametric tests Kendall's tau-b and Spearman's Rho.
Trend analysis of sea level changes using IBM SPSS software
Yılmaz, Nazan (author)
Australian Journal of Maritime & Ocean Affairs ; 11 ; 201-217
2019-10-02
17 pages
Article (Journal)
Electronic Resource
English
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