IRwolves: Isle Royale Wolf GPS Cluster Identification

In tpetroel/PredClusters: Identification of Carnivore Predation Clusters from GPS Locations

Description

This function formats GPS data from Telonics and Vectoronic Collars used in Isle Royale National Park and then identifies potential predation sites ("clusters") from the formated GPS locations and user defined thresholds.

Usage

IRwolves(DownloadDate = DownloadDate, CollarID = CollarID,
  AnimalID = AnimalID, NextCluster = NextCluster,
  ClusterDate = ClusterDate, time_thres = time_thres,
  dist_thres = dist_thres)

Arguments

DownloadDate	The date and folder title in which the raw GPS data are housed, should be formated as DDMONYYYY (i.e., 14MAY2019)
CollarID	The individual identifier for each collar preceeded by "Collar" (i.e., Collar32712)
AnimalID	The individual identifier for each wolf (i.e., W001F) indicating the wolf number and sex
NextCluster	The next number to be assinged for cluster labeling for independent identification, reference Download_Dates.xlsx
ClusterDate	The oldest date to be used for the period to identify clusters within (format = "YYYY-MM-DD", i.e., "2019-05-14")
time_thres	Time, measured in days, between GPS locations to be considered as part of a cluster (i.e., 1 = 24 hours)
dist_thres	Distance, measured in kilometers, between GPS points to be considered in a cluster (i.e., 0.05 = 50 meters)

Examples

# Identify clusters formed by GPS locations that occur within 1 day of eachother
# and within 50 meters of eachother.

IRwolves <- function(DownloadDate = "14MAY2019", CollarID = "Collar32712", AnimalID = "W001F", NextCluster = 001, ClusterDate = "2019-05-07", time_thres = 1, dist_thres = 0.05)

tpetroel/PredClusters documentation built on Feb. 5, 2020, 5:49 p.m.