Abstract
This paper deals with the characterisation ofaerobiological time series. The seriesdiscussed are annual series of mean dailyconcentration of Urticaceae pollen, obtained bymeans of Hirst traps on six sites of theAerobiological Network of Catalonia (XAC).First, some alternatives for fitting a smoothtrend to one of these series are discussed, andtwo satisfactory methods are presented, aGaussian mixture model (parametric) and theFriedman supersmoother (non-parametric).Dividing daily concentrations by trend values,a series of residuals is obtained. The residualseries can be characterised with simpleconventional time series models, and somecommon patterns emerge from the parameterestimates. The long-term patterns of the pollendynamics can be thus characterised by thetrends, and the short-term behaviour by theresiduals. The Spearman correlation is used inthis paper as a measure of the similarity oftwo series.
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Belmonte, J., Canela, M. Modelling aerobiological time series. Application to Urticaceae. Aerobiologia 18, 287–295 (2002). https://doi.org/10.1023/A:1021323610112
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DOI: https://doi.org/10.1023/A:1021323610112