plot.telemetry.Rd
Produces simple plots of telemetry
objects, possibly overlayed with a Gaussian ctmm
movement model or a UD
utilization distribution.
plot(x,y,...) # S3 method for telemetry plot(x,CTMM=NULL,UD=NULL,level.UD=0.95,level=0.95,DF="CDF",error=TRUE,velocity=FALSE, units=TRUE,col="red",col.level="black",col.DF="blue",col.grid="white", transparency.error=0.25,pch=1,type='p',labels=NULL,fraction=1,add=FALSE,xlim=NULL, ylim=NULL,ext=NULL,cex=NULL,lwd=1,lwd.level=1,...) # S4 method for list zoom(x,...) # S4 method for telemetry zoom(x,fraction=1,...) # S4 method for UD zoom(x,fraction=1,...)
x 


y  Unused option. 
CTMM  Optional Gaussian 
UD  Optional 
level.UD  Coverage 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. 
units  Convert axes to natural units. 
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 
transparency.error  Transparency scaling for erroneous locations when 
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 
ext  Plot extent alternative to 
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
.
C. H. Fleming.
If xlim
or ylim
are provided, then the smaller or absent range will be expanded to ensure asp=1
.
akde
, ctmm.fit
, plot
, SpatialPoints.telemetry
.
# Load package and data library(ctmm) data(buffalo) # Plot the data plot(buffalo,col=rainbow(length(buffalo)))#>#>#>#>#>#>