Temporal series analysis of abiotic data for a subtropical Brazilian rocky shore
M G Silva1, Juliana Nascimento Silva1, Helena Rodrigues Fragoso1
1Federal University of ABC - UFABC Rua Arcturus, 03, Jardim Antares, São Bernardo do Campo, São Paulo, CEP 09606-070, Brazil.
Abstract:
Monthly data of abiotic variables (sea surface temperature; minimum and maximum air temperature; minimum, mean and maximum air humidity; minimum, mean and maximum atmospheric pressure; minimum, mean and maximum dew point; sea surface salinity; wind speed and direction; minimum and maximum tidal level and photosynthetically available radiation) were collected from different online repositories, all regarding the period between January 2013 and December 2017, from localities near Mar Casado Beach rocky shore, in São Paulo State southern coast, Brazil. Principal Component Analysis was performed to verify data variance and correlations among variables. Linear regression decomposition methods were applied to identify trend and seasonal patterns within the time indexed data. Deseasonalized time series were analyzed to identify structural breaks in trend patterns. Spectral analysis was applied to detrended time series.
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