plot.lisa: Plots local indicators of spatial association

In ncf: Spatial Covariance Functions

Plots local indicators of spatial association

Description

‘plot’ method for class "lisa".

Usage

## S3 method for class 'lisa'
plot(x, neigh.mean = FALSE, add = FALSE, inches = 0.2, ...)

Arguments

x	an object of class "lisa", usually, as a result of a call to lisa.
neigh.mean	If TRUE, size of symbols represents average observation in each neighborhood; If FALSE, size of symbols represents the original observation
add	If TRUE, a lisa-plot will be added to a pre-existing plot.
inches	scales the size of the symbols
...	other arguments

Value

A bubble-plot of observations against spatial coordinates is produced. Above mean values are signified by red circles. Below mean values are signified by black squares.

If a permutation test was performed, observations for which the associated LISA statistic is significant at a nominal (two-sided) 5%-level will be represented by filled symbols and non-significant values by open symbols. Thus spatial hot-spots are represented by red filled circles and cold-spots by black filled squares.

See Also

lisa, lisa.nc

ncf documentation built on May 7, 2022, 5:05 p.m.