Plot early-warning signals based on patch size distributions
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An object as produced by
A vector providing values over which the indicator trend
will be plotted. If
Further arguments passed to methods
Plot only the best fit the empirical (inverse cumulative) patch-size distribution with an overlay of the estimated fits.
Plot the power-law range
plot function will produce a complex figure summarizing the change
in patch size distributions along a set of values. The figure has two
the upper panel shows the percolation status of empty
FALSE) and occupied cells (
TRUE), and shows the mean
value (proportion of
TRUE values). The background shows
the proportion of each type of distribution for each unique values
the bottom panel displays the power-law range
plot_spectrum function displays each distribution in an
individual facet, with an overlay of the best distribution fit and a blue
bar showing the power-law range. This mode of representation can be
cumbersome when working with a high number of matrices but displays the
full shape of the distributions.
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## Not run: data(forestgap) psd_indic <- patchdistr_spews(forestgap) plot(psd_indic, along = forestgap.pars[ ,"d"]) # When along is non-numeric, bars are used for display plot(psd_indic, along = as.factor(forestgap.pars[ ,"d"])) # Display individual distributions plot_distr(psd_indic, along = forestgap.pars[ ,"d"]) ## End(Not run)
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