QGIS/python/plugins/processing/algs/r/scripts/G_function.rsx.help

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S'ALG_DESC'
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VThis R script computes simulation envelopes of the G(r) - nearest neighbour distance distribution function.\u000a\u000aThe nearest neighbour distance distribution function (also called the \u201cevent-to-event\u201d or \u201cinter-event\u201d distribution) of a point process X is the cumulative distribution function G of the distance from a typical random point of X to the nearest other point of X. An estimate of G derived from a spatial point pattern dataset can be used in exploratory data analysis and formal inference about the pattern. In exploratory analyses, the estimate of G is a useful statistic summarising one aspect of the \u201cclustering\u201d of points. For inferential purposes, the estimate of G is usually compared to the true value of G for a completely random (Poisson) point process, which is where lambda is the intensity (expected number of points per unit area). Deviations between the empirical and theoretical G curves may suggest spatial clustering or spatial regularity.\u000a\u000aR dependencies: library "maptools" and "spatstat"
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sS'ALG_CREATOR'
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VVictor Olaya, volayaf(at)gmail.com
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sS'Layer'
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VA point pattern process.
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sS'Nsim'
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VNumber of simulated point patterns to be generated when computing the envelopes.
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sS'RPLOTS'
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VPlot with the simulation envelopes.
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sS'ALG_HELP_CREATOR'
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VFilipe S. Dias, filipesdias(at)gmail.com
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s.