Creates a Gaussian Kernel of specified size and sigma
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
Jeffrey S. Evans <jeffrey_evans@tnc.org>
Examples
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 )
