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Calculate traditional kernel density estimates

opp_kernel.Rd

This function is a wrapper of track2KBA::estSpaceUse (which itself is a wrapper of adehabitatHR::kernelUD) to calculate a traditional kernel density estimates on a given set of trips. The function accepts outputs from either opp_get_trips or ctcrw_interpolation. If provided an output from ctcrw_interpolation, the function will calculate kernels using the interpolated tracks by default. This behavior can be changed by setting interpolated = FALSE. The default kernel smoother is calculated using the href method. The default UD level is 50%.

Usage

opp_kernel(
  data,
  interpolated = TRUE,
  extendGrid = 10,
  smoother = "href",
  res = 1
)

Arguments

data

Tracks to calculate kernels on. Accepts output from either opp_get_trips or ctcrw_interpolation.

interpolated

Logical (T/F). If provided an output from ctcrw_interpolation, should the interpolated tracks be used for kernel calculation? Default TRUE. This parameter is ignored if the function is provided data from opp_get_tracks.

extendGrid

Numeric. Distance (km) to expand grid beyond the bounding box of tracking data. Default 10km.

smoother

Smoother value used in kernel calculations, either a numeric value or 'href' or 'step'. By default uses the calculated href value of the tracks. Using 'step' will use the median step length across tracks.

res

Grid resolution in sq km to use for kernel calculations.