add_covariates: Covariate Calculations

In rpatin/segclust2d: Bivariate Segmentation/Clustering Methods and Tools

Covariate Calculations

Description

Add several covariates to movement observations add_covariates add several covariates to a data frame with movement information. It adds : distance between location, spatial angle, speed, smoothed speed, persistence and rotation velocity (calculated with spatial angle).

Usage

add_covariates(x, ...)

## S3 method for class 'Move'
add_covariates(x, coord.names = c("x", "y"), ...)

## S3 method for class 'ltraj'
add_covariates(x, coord.names = c("x", "y"), ...)

## S3 method for class 'data.frame'
add_covariates(
  x,
  coord.names = c("x", "y"),
  smoothed = FALSE,
  timecol = "dateTime",
  units = "hour",
  radius = NULL,
  ...
)

Arguments

x	movement data
...	additional arguments
coord.names	names of coordinates column in x
smoothed	whether speed are smoothed or not
timecol	names of POSIXct time column
units	units for time calculation. Default "hour"
radius	for spatial angle calculations

Value

data.frame with additional covariates

Examples

## Not run: add_covariates(move_object, coord.names = c("x","y"), smoothed = T)
## Not run: 
data(simulmode)
simple_data <- simulmode[,c("dateTime","x","y")]
full_data   <- add_covariates(simple_data, coord.names = c("x","y"),
 timecol = "dateTime",smoothed = TRUE, units ="min")

## End(Not run)

rpatin/segclust2d documentation built on April 24, 2024, 2:22 a.m.