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trip (version 1.1-2)

Spatial analysis of animal track data

Description

Functions for accessing and manipulating spatial data for animal tracking. Filter for speed and create time spent plots from animal track data.

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Version

Install

install.packages('trip')

Monthly Downloads

836

Version

1.1-2

License

GPL-2

Maintainer

Michael Sumner

Last Published

June 29th, 2023

Functions in trip (1.1-2)

trip

Function to handle animal track data, organized as "trip"s

readArgos

Read Argos "DAT" or "DIAG" files

forceCompliance

Function to ensure dates and times are in order with trip ID

speedfilter

Filter track data for speed

trip-internal

Internal trip Functions

readDiag

Read Argos DIAG format

as.trip

Coercion from other classes to trip objects

trackDistance

Determine distance along a track

sepIdGaps

Separate a set of IDs based on gaps

TimeOrderedRecords-class

A class for the identifiers of DateTime and ID records in spatial data.

as.Other

As ("trip", other-classes)

adjust.duplicateTimes

Adjust duplicate DateTime values

argos.sigma

Assign numeric values for Argos "class"

oc.theme

SeaWiFS ocean colour colours

TimeOrderedRecords

cut.trip

Split trip events into exact time-based boundaries.

tripGrid

Generate a grid of time spent

homedist

Calculate maximum distance from 'home' for each trip

trackAngle

Determine internal angles along a track

filter.penSS

Non-destructive smoothing filter

spTransform-methods

Methods for Function spTransform in package "trip"

sda

Filter track for speed, distance and angle.

makeGridTopology

Generate a GridTopology from a Spatial object

trip-class

Class "trip" ~~~

trip-package

Spatial analysis of animal track data

rasterize

Rasterize trip objects based on line-segment attributes.

tripGrid.interp

Generate a grid of time spent using approximate methods

trip-methods

Function to handle animal track data, organized as "trip"s

trip.split.exact

Deprecated functions in trip

trip-accessors

Functions to retrieve DateTime and ID data from within (Spatial) data frames.