cluster: Detector Clustering

Description

Clusters are uniform groups of detectors. Use these functions to extract or replace cluster information of a traps object, or extract cluster information for each detection in a capthist object.

Usage

clusterID(object)
clusterID(object) <- value
clustertrap(object)
clustertrap(object) <- value

Value

Factor (clusterID) or integer-valued vector (clustertrap).

clusterID(object) may be NULL.

Arguments

object: traps or capthist object
value: factor (clusterID) or integer-valued vector (clustertrap)

Details

Easy access to attributes used to define compound designs, those in which a detector array comprises several similar subunits (`clusters'). `clusterID' identifies the detectors belonging to each cluster, and `clustertrap' is a numeric index used to relate matching detectors in different clusters.

For replacement (`traps' only), the number of rows of value must match exactly the number of detectors in object.

`clusterID' and `clustertrap' are assigned automatically by trap.builder.

Examples

Run this code


## 25 4-detector clusters
mini <- make.grid(nx = 2, ny = 2)
tempgrid <- trap.builder (cluster = mini , method = "all",
    frame = expand.grid(x = seq(100, 500, 100), y = seq(100,
    500, 100)))
clusterID(tempgrid)
clustertrap(tempgrid)

tempCH <- sim.capthist(tempgrid)
table(clusterID(tempCH)) ## detections per cluster
cluster.counts(tempCH)   ## distinct individuals