brownian.motion.variance: Brownian motion variance

In BBMM: Brownian bridge movement model

Description

Estimates Brownian motion variance for a Brownian bridge movement model.

Usage

brownian.motion.variance(n.locs, time.lag, location.error, x, y, max.lag)

Arguments

n.locs	Number of observed locations in time and space.
time.lag	Vector of time differences (usually in minutes) between successive locations. The length(time.lag) = length(x) - 1.
location.error	The standard deviation of normally distributed location errors (single value or vector of 1 value for each observation).
x	Vector of x coordinates (meters) of locations, ordered in time.
y	Vector of y coordinates (meters) of locations, ordered in time.
max.lag	Maximum lag between successful fixes to consider.

Details

Users will generally not call this function directly. It is sourced by brownian.bridge.

Value

The estimate of Brownian motion variance, or diffusion coefficient related to the mobility of the object.

Author(s)

Ryan Nielson, Hall Sawyer, and Trent McDonald (WEST, Inc., www.west-inc.com)

Maintainer: Ryan Nielson [e-mail]

References

Horne, J. S., E. O. Garton, S. M. Krone, and J. S. Lewis. 2007. Analyzing animal movements using Brownian bridges. Ecology 88:2354-2363.

Sawyer, H., M. J. Kauffman, R. M. Nielson, and J. S. Horne. 2009. Identifying and prioritizing ungulate migration routes for landscpe-level conservation. Ecological Applications 19:2016-2025.

See Also

brownian.bridge

Examples

data(locations)
BBMM <- brownian.bridge(x=locations$x, y=locations$y, 
            time.lag=locations$time.lag[-1], location.error=20, 
            cell.size=50)

Example output

BBMM documentation built on May 2, 2019, 6:47 a.m.