jitter.points: Bootstrap and Kernel Bootstrap from Points

In GISTools: Further Capabilities in Geographic Information Science

Bootstrap and Kernel Bootstrap from Points

Description

Operations for bootstrapping and kernel bootstrapping based on point data. bstrap.points sample 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.

Usage

jitter.points(pts,scl)
bstrap.points(pts)

Arguments

pts	A SpatialPointsDataFrame or sf - POINT object
scl	A scale parameter - basically the standard deviation of the random Gaussian displacement

Value

A SpatialPointsDataFrame - with either a sample without replacement or a replica of the input data with displacements.

Author(s)

Chris Brunsdon, Binbin Lu

Examples

data(newhaven)
plot(blocks)
for (i in 1:20) plot(jitter.points(breach,150),add=TRUE,pch=1,col='red')

GISTools documentation built on Oct. 3, 2024, 1:08 a.m.