gaussian.kernel: Gaussian Kernel

Description Usage Arguments Value Author(s) Examples

View source: R/gaussian.kernel.R

Description

Creates a Gaussian Kernel of specified size and sigma

Usage

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gaussian.kernel(sigma = 2, n = 5)

Arguments

sigma

sigma (standard deviation) of kernel (defaults 2)

n

size of symmetrical kernel (defaults to 5x5)

Value

Symmetrical (NxN) matrix of a Gaussian distribution

Author(s)

Jeffrey S. Evans <[email protected]>

Examples

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  par(mfrow=c(2,2))
  persp(gaussian.kernel(sigma=1, n=27), theta = 135, phi = 30, col = "grey", 
        ltheta = -120, shade = 0.6, border=NA )
  persp(gaussian.kernel(sigma=2, n=27), theta = 135, phi = 30, col = "grey", 
        ltheta = -120, shade = 0.6, border=NA )		
  persp(gaussian.kernel(sigma=3, n=27), theta = 135, phi = 30, col = "grey", 
        ltheta = -120, shade = 0.6, border=NA )				
  persp(gaussian.kernel(sigma=4, n=27), theta = 135, phi = 30, col = "grey", 
        ltheta = -120, shade = 0.6, border=NA )					
		

jeffreyevans/spatialEco documentation built on Oct. 13, 2018, 6:53 p.m.