normalize

Normalize numeric and raster data.

Classify hemispherical
photographs of the plant canopy with algorithms specially developed for
such a task and well documented in
Díaz and Lencinas (2015) <doi:10.1109/lgrs.2015.2425931> and
Díaz and Lencinas (2018) <doi:10.1139/cjfr-2018-0006>. It supports
non-circular hemispherical photography, such as those acquired with
15mm lenses or with auxiliary fish-eye lenses attached to mobile devices.
For smartphone-based hemispherical photography see
Díaz (2023) <doi:10.1111/2041-210x.14059>. Most of the functions also
support restricted view photography.

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

rcaiman

CAnopy IMage ANalysis

Gastón Mauro Díaz

normalize function

<dl><dt>r</dt>
<dd>SpatRaster or numeric vector.</dd>
<dt>mn</dt>
<dd>Numeric vector of length one. Minimum expected value. Default is
equivalent to enter the minimum value from <code>r</code>.</dd>
<dt>mx</dt>
<dd>Numeric vector of length one. Maximum expected value. Default is
equivalent to enter the maximum value from <code>r</code>.</dd>
<dt>force_range</dt>
<dd>Logical vector of length one. If it is <code>TRUE</code>, the
range is forced to be between <code>0</code> and <code>1</code> by flattening values
found below and above those limits.</dd></dl>

Arguments

Normalize data — normalize

<dl>

<dt>r</dt>
<dd>SpatRaster or numeric vector.</dd>


<dt>mn</dt>
<dd>Numeric vector of length one. Minimum expected value. Default is
equivalent to enter the minimum value from <code>r</code>.</dd>


<dt>mx</dt>
<dd>Numeric vector of length one. Maximum expected value. Default is
equivalent to enter the maximum value from <code>r</code>.</dd>


<dt>force_range</dt>
<dd>Logical vector of length one. If it is <code>TRUE</code>, the
range is forced to be between <code>0</code> and <code>1</code> by flattening values
found below and above those limits.</dd>

</dl>

normalize: Normalize data

Description

Usage

Value

Arguments

Details

See Also

Examples