Operations for bootstrapping and kernel bootstrapping based on point data.
n points with replacement from a sample - and
jitter.points adds a Gaussian displacement to each point in a data set. Applying a jitter to a bootstrap effectively creates a kernel bootstrap operation.
A scale parameter - basically the standard deviation of the random Gaussian displacement
SpatialPointsDataFrame - with either a sample without replacement or a replica of the input data with displacements.
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