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By considering only the significant differences in expression between sampling points, we can filter some of the noise produced by random differences in expression between biological replicates as well as excluding genes with very low expression in all states of development.
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For example, if we consider the maximum distance between sampling points for two males sharing the same haplotype (~34 km), and conservatively assume those points demarcate the outer edges of a single community home range, their circular home range would measure more than 900 km in size.
A second required input was the effective size (N e ) of the sampled population, which we estimated for each location based on the temporal variance in allele frequencies between sampling points, and which appeared high at all locations (lower 95% confidence limit consistently ≥450, see Data S1).
Between sampling points the responses are interpolated.
Spatial phenomena occurring between sampling points could also be missed by kriging models.
The distances between sampling points are varied, 7, 30, 50, 100 or 375 km.
A certain minimal distance between sampling points should exist, when statistically significant correlation between the time series cannot be found.
Between sampling points, due to the lack of information, a linear profile for the evolution of those temperatures is imposed.
As the SPT provides information related to a specific point, it is necessary to extend this information to a large area, by filling the voids between sampling points.
Statistical analysis demonstrated no significant differences in particle size between sampling points, indicating low or no selectivity of WWT methods for nanoparticles based on size.
Nanoparticle sizing data compared between sampling points, including the final sampling point before discharge from the facility, suggested that nanoparticles could be released to the municipal waste stream from industrial sources.
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