gausskern: Create Gaussian Kernel

In HMMoce: Improved Analysis of Marine Animal Movement Data Using Hidden Markov Models

Description

gausskern calculates 2D Gaussian kernel based on kernel size, deviation, and advection

Usage

gausskern(siz, sigma, muadv = 0)

Arguments

siz	size of the kernel, siz x siz. Must be a positive integer.
sigma	standard deviation of the kernel. Unit is cell width. Must be a positive number.
muadv	advection of the kernel. Unit of the input is cell width. Defaults to 0.

Value

Gaussian kernel as a 2D matrix of size (siz x siz)

Author(s)

Function originally written for Matlab by Martin W. Pedersen, translated to R by Benjamin Galuardi

References

Pedersen, M.W., Righton, D., Thygesen, U.H., Andersen, K.H., and Madsen, H. 2008. Geolocation of North Sea cod (Gadus morhua) using hidden Markov models and behavioural switching. Canadian Journal of Fisheries and Aquatic Sciences 65(11): 2167-1377.

Examples

kern = gausskern(3, 0.5)

HMMoce documentation built on Nov. 17, 2017, 5:57 a.m.