Dissect Spatial Capture History Object
Extract parts of an object of class ‘capthist’.
animalID(object, names = TRUE) occasion(object) trap(object, names = TRUE) alive(object) alongtransect(object, tol = 0.01) xy(object) xy(object) <- value telemetryxy(object, includeNULL = FALSE) telemetryxy(object) <- value telemetered(object)
object |
a ‘capthist’ object |
names |
if FALSE the values returned are numeric indices rather than names |
tol |
tolerance for snapping to transect line (m) |
value |
replacement value (see Details) |
includeNULL |
logical; if TRUE a NULL component is included for untelemetered animals |
These functions extract data on detections, ignoring occasions when an animal was not detected. Detections are ordered by occasion, animalID and trap.
trap returns polygon or transect numbers if traps(object)
has detector type ‘polygon’ or ‘transect’.
alongtransect returns the distance of each detection from the
start of the transect with which it is associated.
Replacement values must precisely match object in number of
detections and in their order. xy<- expects a dataframe of x and y
coordinates for points of detection within a ‘polygon’ or ‘transect’
detector. telemetryxy<- expects a list of dataframes, one per telemetered animal.
For animalID and trap a vector of numeric or character values, one per detection.
For alive a vector of logical values, one per detection.
For occasion, a vector of numeric values, one per detection.
For xy, a dataframe with one row per detection and columns ‘x’ and ‘y’.
If object has multiple sessions, the result is a list with one
component per session.
## `captdata' is a demonstration dataset
animalID(captdata)
temp <- sim.capthist(popn = list(D = 1), make.grid(detector
= "count"))
cbind(ID = as.numeric(animalID(temp)), occ = occasion(temp),
trap = trap(temp))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.