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The two contour boundaries however, suggest clustering at all distances above ~ 0.5 km.
The contour based boundaries suggest clustering, the ellipse and rectangular boundaries suggest random dispersion, and the convex hull suggests a more regularly spaced vent distribution.
All results show the minimum vent distance at ~ 300 m (first trough), and suggest clustering at distances > 11 km (vent results lie above the upper significance bound), which likely reflects the maximum/regular vent-spacing, and consequently, field dimensions.
The convex hull, ellipse, and rectangular bounds suggest clustering between ~ 0.5 and 2.5 km (above upper bound), and then maximum/regular spacing between 3 and 6 km (below lower bound, Fig. 4c and d) (3 and 8 km for the convex hull, Fig. 4b), and then clustering at larger distances.
Positive values suggest clustering of abundances, whereas negative values suggest overdispersion of abundances.
Values of the F function greater than the Poisson value suggest that there is regularity in the point pattern, while lower values suggest clustering.
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While the Clark-Evans statistic tests the degree of departure from a Poisson distribution (Fig. 3a), the Hop-F statistic suggests clustering (Fig. 3b).
Analysis of microarray transcriptional patterns of various OXPHOS genes in humans suggested clustering of transcripts encoding elements of the same OXPHOS complex [11], thus, conceivably facilitating co-regulation of OXPHOS genes' expression.
Although they shared common triallelic combinations, Fig. 2 suggests clustering into two subgroups.
Subset analysis of physicians seeing more than ten patients in both the pre- and post-intervention periods showed similar changes and did not suggest cluster-associated phenomenon.
The suggested clustering procedure is theoretically illustrated and its effectiveness has been investigated experimentally.
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