blameArrays

Find which arrays to blame for a jump in movement events

internal

Designed for studies where animals tagged with acoustic tags are expected
to move through receiver arrays. This package combines the advantages of automatic sorting and checking
of animal movements with the possibility for user intervention on tags that deviate from expected
behaviour. The three analysis functions (explore(), migration() and residency())
allow the users to analyse their data in a systematic way, making it easy to compare results from
different studies.
CJS calculations are based on Perry et al. (2012) <https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data>.

Hugo Fl<c3><a1>vio

actel

Acoustic Telemetry Data Analysis

Hugo Flávio

blameArrays function

<dl><dt>from</dt>
<dd>The array where the tag started</dd>
<dt>to</dt>
<dd>The array where the tag was next detected</dd>
<dt>paths</dt>
<dd>a list containing the shortest paths between arrays with distance &gt; 1</dd></dl>

Arguments

Find which arrays to blame for a jump in movement events — blameArrays

<dl>

<dt>from</dt>
<dd>The array where the tag started</dd>


<dt>to</dt>
<dd>The array where the tag was next detected</dd>


<dt>paths</dt>
<dd>a list containing the shortest paths between arrays with distance &gt; 1</dd>

</dl>

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blameArrays: Find which arrays to blame for a jump in movement events

Description

Usage

Value

Arguments