normalize_minmax

Rescale numeric or raster data from an expected range to the range \([0, 1]\).

Tools for preprocessing and processing canopy photographs with
support for raw data reading. Provides methods to address variability in
sky brightness and to mitigate errors from image acquisition in
non-diffuse light. Works with all types of fish-eye lenses, and some
methods also apply to conventional lenses.

Gast<c3><b3>n Mauro D<c3><ad>az

rcaiman

CAnopy IMage ANalysis

Gastón Mauro Díaz

normalize_minmax function

<dl><dt>r</dt>
<dd>numeric <a href="/link/terra%3A%3ASpatRaster?package=rcaiman&version=2.0.1" data-mini-rdoc="rcaiman::terra::SpatRaster">terra::SpatRaster</a> or numeric vector. Input data.</dd>
<dt>mn</dt>
<dd>numeric vector of length one or <code>NULL</code>. Minimum expected value.
If <code>NULL</code> (default), uses the minimum of <code>r</code>.</dd>
<dt>mx</dt>
<dd>numeric vector of length one or <code>NULL</code>. Maximum expected value.
If <code>NULL</code> (default), uses the maximum of <code>r</code>.</dd>
<dt>clip</dt>
<dd>logical vector of length one. If <code>TRUE</code>, clip the output to
\([0, 1]\) after rescaling. If <code>FALSE</code>, values greater than <code>mx</code> are scaled
proportionally to values above <code>1</code>, and values less than <code>mn</code> to values
below <code>0</code>.</dd></dl>

Arguments

Normalize data using min-max rescaling — normalize_minmax

<dl>

<dt>r</dt>
<dd>numeric <a href='https://rdrr.io/pkg/terra/man/SpatRaster-class.html'>terra::SpatRaster</a> or numeric vector. Input data.</dd>


<dt>mn</dt>
<dd>numeric vector of length one or <code>NULL</code>. Minimum expected value.
If <code>NULL</code> (default), uses the minimum of <code>r</code>.</dd>


<dt>mx</dt>
<dd>numeric vector of length one or <code>NULL</code>. Maximum expected value.
If <code>NULL</code> (default), uses the maximum of <code>r</code>.</dd>


<dt>clip</dt>
<dd>logical vector of length one. If <code>TRUE</code>, clip the output to
\([0, 1]\) after rescaling. If <code>FALSE</code>, values greater than <code>mx</code> are scaled
proportionally to values above <code>1</code>, and values less than <code>mn</code> to values
below <code>0</code>.</dd>

</dl>

normalize_minmax: Normalize data using min-max rescaling

Description

Usage

Value

Arguments

Examples