rhrSchoener: Schoener's ratio

In rhr: Package to estimate home ranges through a graphical user interface.

Description

Schoener's ratio

Usage

  rhrSchoener(dat, interval, alpha = 0.25, minM = 10,
    consec = TRUE, meth = 1)

Arguments

dat	data.frame with 3 columns. The first column contains x coordinates, the second column contains y coordinates and the third column contains a timestamp as POSIXct.
interval	numeric value, the interval in seconds.
alpha	numeric value, alpha value used to calculate the critical value.
minM	numeric value, the minimum number of pairs required, if m is smaller than this argument it will return NA.
consec	locagical value, indicates whether or not the observations are consecutive or not.

Value

vector vector of length six.

• "V"Schoeners V

• "m"Number of pairs used

• "r2"Mean squared distance from the center of activity

• "t2"Mean squared distance between relocations

• "cv"Critical value

• "m"The time interval in seconds

Note

This implementation uses the normal distribution as a sampling distribution. Relocations are ordered by timestamp and then relocations are sampled based on interval. In cases when relocations are not spaced equally, i.e. no relocation is available exactly at the interval, the relocation directly thereafter is used.

Author(s)

Johannes Signer

References

Swihart, R. and Slade N. 1985, Testing for indpendence of observations in animal movement, _Ecology_, 66(4), 1176 - 1184

Examples

data(datSH)
dat <- data.frame(datSH[, 2:3], as.numeric(ymd(datSH$day) + hms(datSH$time)))
rhrSchoener(dat, interval=60)

rhr documentation built on May 2, 2019, 6:06 p.m.