thin.algorithm implements a randomization approach to spatially thinning species occurence data. This function is the algorithm underlying the thin function.
plotThin
(Package: spThin) :
Plot diagnosis for results of thin function
Three plots (selected by which) are currently available: a plot of the number of repetitions versus the number of maximum records retained at each repetition ([1] observed values; [2] log transformed) and a histogram of the maximun records retained [3].
thin
(Package: spThin) :
Spatially thin species occurence data
thin returns spatially thinned species occurence data sets. A randomizaiton algorithm (thin.algorithm) is used to create data set in which all occurnece locations are at least thin.par distance apart. Spatial thinning helps to reduce the effect of uneven, or biased, species occurence collections on spatial model outcomes.
providing 
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