R: Filtering and Assessing the Sample Size of Tracking Data

# Filtering and Assessing the Sample Size of Tracking Data

## Documentation for package ‘SDLfilter’ version 2.3.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

asymptote | Horizontal asymptotes of rational functions
Australia | A map of Australia
bathymodel | Bathymetry model for Sandy Strait, Australia
boot_area | Cumulative analysis of collective areas by bootstrapping
boot_overlap | Bootstrap overlaps between Utilisation Distributions (UDs)
combn_overlap | Quantifying overlaps between all possible combination of Utilisation Distributions (UDs)
ddfilter | Filter locations using a data driven filter
ddfilter_loop | Filter locations by quality index, inner angle, and speed
ddfilter_speed | Filter locations by speed
depthfilter | Filter locations by water depth
distfilter | Filter locations by distance
dupfilter | Filter temporal and/or spatial duplicates
dupfilter_exact | Filter temporally and spatially exact duplicates
dupfilter_qi | Filter temporal duplicates by quality index
dupfilter_space | Filter spatial duplicates
dupfilter_time | Filter temporal duplicates
flatback | Flatback turtle tracking data
percent_vol | UD percent volume
SandyStrait | A map of Sandy Strait, Australia
tidalplane | Tidal plane table for Sandy Strait, Australia
tidedata | Tidal data for Sandy Strait, Australia
to_map | Plot location data on a map
track_param | Calculate parameters between locations
turtle | Green turtle tracking data
turtle2 | Green turtle tracking data 2
ud_matrix | A matrix containing probability distributions of flatback turtles
ud_raster | A list of raster data containing probability distributions of flatback turtles
vmax | Maximum linear speed
vmaxlp | Maximum one-way linear speed of a loop trip