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In contrast, although the RSD was of more or less similar magnitude, global Moran statistics did not indicate significant spatial correlation of FS sampling rates between counties.
Within each survey, sampling rates in different years were correlated; AS sampling was more strongly correlated between years than FS sampling (Table 2).
Global Moran values for AS sampling combined with FS sampling indicated significant positive spatial autocorrelation, except in 2005, which was the year with the highest ratio of FS to AS sampling.
The RSD values also indicated that the variance of FS sampling rates among counties reduced from 2003 to 2005, a trend that is visible as an increasing number of counties with sampling rates falling in the range 1.6 – 5.0% in Figure 4. Correlation coefficients presented are within surveys between years and between surveys within years.
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For any function having a bandwidth of Δ f, sampling at intervals 1/2Δ f completely specifies the function.
In May, Cruise F sampling occurred during the transition from downwelling to upwelling conditions (low wind stress), while Cruises G and H were conducted during upwelling.
a LK1 sampling, b LK2 sampling, c LK3 sampling, d LK4 sampling, e LK5 sampling, f LK6 sampling.
Let x(n) be a discrete-time signal sampled at F s sampling rate.
F Sample IS_Strýtan_01 macroscopically.
f Sample description used for heterogeneity analysis.
b, f Samples from the pre-reversal zone.
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