Computational protocol: A comparative study of hourly and daily relationships between selected meteorological parameters and airborne fungal spore composition

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[…] Normality of the variables was tested with the commonly used Kolmogorov–Smirnov and Chi-square tests. Since most of the data did not fit the normal distribution (p < 0.05), the Spearman’s rank association test was applied to examine effects of selected weather parameters on hourly and daily concentrations of selected airborne fungal spore (STATISTICA StatSoft v. 10.0). Effects of complex of weather parameters on hourly and daily composition of fungal spore were assessed using the software package CANOCO v. 4.5 (ter Braak and Šmilauer ), after log transformation of spore and meteorological data by a modified formula available in CANOCO: Y ki* = log(Ay ki + B), where y ki is the concentration of k spores in i sample; the coefficients A and B are standard set as 1. Airborne fungal spore distribution patterns in relation to meteorological variables were determined by multivariate redundancy analysis (RDA), after detrended correspondence analysis (DCA) results detected a linear structure of the spore data. Detailed information about the applied multivariate methods, stepwise forward selection and tests of significance is available in Grinn-Gofroń and Bosiacka ().Redundancy among the meteorological variables was explored with the variance inflation factor (VIF). VIF analysis (available in CANOCO) is a diagnostic tool used to identify useless constrains. The large value of variance inflation factor (VIF > 20) mean that a given variable is so strongly correlated with others, that the rate of the canonical variable is unstable and not suitable to interpret. […]

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