bbmm.contour: Create density contours from a Brownian bridge movement model

In BBMM: Brownian bridge movement model

Description

Calculates and (optionally) plots density contours from a utilization distribution.

Usage

bbmm.contour(x, levels, locations = NULL, plot = TRUE)

Arguments

x	An object of class bbmm, which is a list with vectors x, y and probabilities.
levels	A numeric vector of desired contour levels (e.g., c(95, 99)).
locations	(optional) data frame or matrix of x and y coordinates for original location data used to estimate the Brownian bridge and utilization distribution surface.
plot	Logical. If TRUE, the countour plot is drawn.

Value

An list with four components.

Components of the returned object are as follows:

contour	Requested contour level(s).
z	values that separate the specified contour level(s).

Author(s)

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

Maintainer: Ryan Nielson [e-mail]

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)
contours <- bbmm.contour(BBMM, levels=c(95, 99), locations=locations, plot=TRUE)

# Create a shapefile with contour lines
# Not run: library(maptools)
# Not run: library(raster)
# Not run: out <- data.frame(x=BBMM$x,y=BBMM$y,z=BBMM$probability)
# Make sure the data is properly projected
# Not run: out.raster <- rasterFromXYZ(out,crs=CRS("+proj=utm +zone=12 +datum=WGS84"),digits=2) 
# Not run: raster.contour <- rasterToContour(out.raster,levels=contours$Z) 
# Not run: raster.contour <- spChFIDs(raster.contour,paste(c(95, 99),"% Contour Line",sep="")) 
# Not run: library(rgdal) # can't be loaded before CRS call in line above
# Not run: writeOGR(obj=raster.contour,dsn=".",layer="BBMM",driver="ESRI Shapefile")

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