getPrecisionPar

Function that counts cells (number and proportion) above given values.

This resource provides tools to create, compare, and post-process
spatial isotope assignment models of animal origin. It generates
probability-of-origin maps for individuals based on user-provided tissue and
environment isotope values (e.g., as generated by IsoMAP, Bowen et al. [2013]
<doi:10.1111/2041-210X.12147>) using the framework established in Bowen et al.
(2010) <doi:10.1146/annurev-earth-040809-152429>). The package 'isocat' can then
quantitatively compare and cluster these maps to group individuals by
similar origin. It also includes techniques for applying four approaches
(cumulative sum, odds ratio, quantile only, and quantile simulation) with
which users can summarize geographic origins and probable distance traveled
by individuals. Campbell et al. [2020] establishes several of the functions
included in this package <doi:10.1515/ami-2020-0004>.

Caitlin Campbell

isocat

Isotope Origin Clustering and Assignment Tools

getPrecisionPar function

<dl><dt>rasterstack</dt>
<dd>RasterStack of probability surfaces</dd>
<dt>checkVals</dt>
<dd>vector of numeric 'threshold' values against which to calculate precision</dd>
<dt>method</dt>
<dd>is FALSE by default. If character vector, appends a column recording 'method' used.</dd>
<dt>nCluster</dt>
<dd>is a numeric object specifying how many clusters to form and run in parallel.</dd></dl>

Arguments

Calculate model precision at given threshold values (in parallel). — getPrecisionPar

<dl>

<dt>rasterstack</dt>
<dd>RasterStack of probability surfaces</dd>


<dt>checkVals</dt>
<dd>vector of numeric 'threshold' values against which to calculate precision</dd>


<dt>method</dt>
<dd>is FALSE by default. If character vector, appends a column recording 'method' used.</dd>


<dt>nCluster</dt>
<dd>is a numeric object specifying how many clusters to form and run in parallel.</dd>

</dl>

getPrecisionPar: Calculate model precision at given threshold values (in parallel).

Description

Usage

Value

Arguments