calc_moments

internal

Analyse species-habitat associations in R. Therefore, information about the location
of the species (as a point pattern) is needed together with environmental conditions
(as a categorical raster). To test for significance habitat associations, one of
the two components is randomized. Methods are mainly based on Plotkin et al. (2000)
<doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.

Maximillian H.K. Hesselbarth

shar

Species-Habitat Associations

Maximilian H.K. Hesselbarth

Marco Sciaini

Chris Wudel

Zeke Marshall

Thomas Etherington

Janosch Heinermann

calc_moments function

<dl><dt>fn</dt>
<dd>Determination of the weightings of the mark correlation functions.</dd>
<dt>p</dt>
<dd>Defines the initial state of the new ponit pattern.</dd>
<dt>exclude</dt>
<dd>Vector indicating which values not to use.</dd>
<dt>x, y</dt>
<dd>x and y coordinates of the points from the reference point pattern.</dd>
<dt>mark</dt>
<dd>Marks the currently viewed point pattern.</dd>
<dt>kernel</dt>
<dd>Result of the kernel calculation, calculated with the calc_kernels function.</dd>
<dt>rmax_bw</dt>
<dd>Maximum distance at which the summary statistics are
evaluated + Bandwidth with which the kernels are scaled, so that this is the
standard deviation of the smoothing kernel.</dd>
<dt>r</dt>
<dd>Sequence from rmin to rmax in rcount steps.</dd></dl>

Arguments

calc_moments — calc_moments

<dl>

<dt>fn</dt>
<dd>Determination of the weightings of the mark correlation functions.</dd>


<dt>p</dt>
<dd>Defines the initial state of the new ponit pattern.</dd>


<dt>exclude</dt>
<dd>Vector indicating which values not to use.</dd>


<dt>x, y</dt>
<dd>x and y coordinates of the points from the reference point pattern.</dd>


<dt>mark</dt>
<dd>Marks the currently viewed point pattern.</dd>


<dt>kernel</dt>
<dd>Result of the kernel calculation, calculated with the calc_kernels function.</dd>


<dt>rmax_bw</dt>
<dd>Maximum distance at which the summary statistics are
evaluated + Bandwidth with which the kernels are scaled, so that this is the
standard deviation of the smoothing kernel.</dd>


<dt>r</dt>
<dd>Sequence from rmin to rmax in rcount steps.</dd>

</dl>

calc_moments: calc_moments

Description

Usage

Value

Arguments

Details