Description Usage Arguments Details Value Note Author(s) See Also Examples
View source: R/plot.telemetry.R
Produces simple plots of telemetry
objects, possibly overlayed with a Gaussian ctmm
movement model or a UD
utilization distribution.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  plot(x,y,...)
## S3 method for class 'telemetry'
plot(x,CTMM=NULL,UD=NULL,level.UD=0.95,level=0.95,DF="CDF",error=TRUE,velocity=FALSE,
col="red",col.level="black",col.DF="blue",col.grid="white",pch=1,type='p',
labels=NULL,fraction=1,add=FALSE,xlim=NULL,ylim=NULL,cex=NULL,lwd=1,lwd.level=1,...)
## S4 method for signature 'list'
zoom(x,...)
## S4 method for signature 'telemetry'
zoom(x,fraction=1,...)
## S4 method for signature 'UD'
zoom(x,fraction=1,...)

x 

y 
Unused option. 
CTMM 
Optional Gaussian 
UD 
Optional 
level.UD 
Confidence level of Gaussian 
level 
Confidence levels placed on the contour estimates themselves. I.e., the above 50% core homerange area can be estimated with 95% confidence via 
DF 
Plot the maximum likelihood probability density function 
error 
Plot error circles/ellipses if present in the data. 
velocity 
Plot velocity vectors if present in the data. 
col 
Color option for telemetry data. Can be an array or list of arrays. 
col.level 
Color option for homerange contours. Can be an array. 
col.DF 
Color option for the density function. Can be an array. 
col.grid 
Color option for the maximum likelihood 
pch 
Plotting symbol. Can be an array or list of arrays. 
type 
How plot points are connected. Can be an array. 
labels 
Labels for UD contours. Can be an array or list of arrays. 
fraction 
Quantile fraction of the data, Gaussian 
add 
Setting to 
xlim 
The 
ylim 
The 
cex 
Relative size of plotting symbols. Only used when errors are missing. 
lwd 
Line widths of 
lwd.level 
Line widths of 
... 
Additional options passed to 
Confidence intervals placed on the ctmm
Gaussian homerange contour estimates only represent uncertainty in the area's magnitude and not uncertainty in the mean location, eccentricity, or orientation angle. For akde
UD
estimates, the provided contours also only represent uncertainty in the magnitude of the area. With akde
estimates, it is also important to note the scale of the bandwidth and, by default, grid cells are plotted with akde
contours such that their length and width matches that of a bandwidth kernels' standard deviation in each direction. Therefore, this grid provides a visual approximation of the kerneldensity estimate's “resolution”.
Returns a plot of x vs. y, and, if specified, Gaussian ctmm
distribution or UD
.
akde
UD
plots also come with a standard resolution grid.
zoom
includes a zoom slider to manipulate fraction
.
If xlim
or ylim
are provided, then the smaller or absent range will be expanded to ensure asp=1
.
C. H. Fleming.
akde
, ctmm.fit
, plot
, SpatialPoints.telemetry
.
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