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Table 1 shows the results of pattern tests between the three methods presented in this article.
Mappable results for all of the spatial point pattern tests performed in Tables 2 and 3 are available, but two of those maps show particularly interesting results.
The results of the spatial point pattern tests, at both spatial units of analysis, showed that each day of the week had spatial patterns that were distinct from the rest of the week for each crime type except for robbery and sexual assault.
Examples of behavior pattern tests include: (1) trend comparison and removal, (2) period comparison using the autocorrelation function, (3) comparison of the averages, (4) comparison of the variations, (5) testing for phase lag using the cross-correlation function, and (6) the computing the discrepancy coefficient.
All isolates (n = 100) were submitted to antibiotic susceptibility pattern tests by disk diffusion method [ 9].
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Gaps-in-noise (GIN), Duration Pattern test (DPT) and Dichotic Digits Test (DDT) tests were used to assess central auditory processing performance.
Fig. 2 Spatial point pattern test output, assault, dissemination areas, Saturday versus rest of the week.
Andresen's (2009) spatial point pattern test is an area-based point pattern test that is concerned with the similarity between two different spatial point patterns at the local level.
Fig. 3 Spatial point pattern test output, theft from vehicle, dissemination areas, Saturday versus rest of the week Fig. 4 Spatial point pattern test output, burglary, dissemination areas, Monday versus rest of the week.
This spatial point pattern test is not concerned with null hypotheses of random, uniform, or clustered distributions.
Second, the spatial point pattern test generates output that can be mapped to show where statistically significant change occurs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com