SameSegmentClusters.sample: For sampling designs including clusters of samples, this...

In apear9/SSNdesign: An R Package for Optimal and Adaptive Sampling Designs on Stream Networks

Description

For sampling designs including clusters of samples, this function selects clustered samples within each reach that is provided.

Usage

SameSegmentClusters.sample(ssn.obj,
  ClustDistMethod = "prop.shortest.seg", segment.vector, max.dist = NA,
  cluster.size, start.point.method = "random", bin.table)

Arguments

ssn.obj	an object of class SpatialStreamNetwork
ClustDistMethod	a character vector providing the method for how clustered samples are selected from within a single reach.
segment.vector	a numeric vector of rids for which clustered samples are desired.
max.dist	an optional distance provided as the upper limit for a distance between two locations within a common reach whereby those locations can be selected into a common cluster.
cluster.size	the number of points per cluster.
start.point.method	a character vector providing the method for how the first location in each cluster should be selected
bin.table	an object of class data.frame which represents the bindaryID object for a SpatialStreamNetwork

Value

a data.frame

apear9/SSNdesign documentation built on Feb. 19, 2020, 4:29 a.m.