clusterPoints,GVector-method

clusterPoints

<code>clusterPoints()</code> partitions points in a "points" <code>GVector</code> into clusters.

Processing of large-in-memory/large-on disk rasters and spatial
vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in
the 'terra' package are	recreated. Processing of medium-sized and smaller
spatial objects will nearly always be faster using 'terra' or 'sf', but
for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster.
To use most of the functions, you must have the stand-alone version (not
the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.

Adam B. Smith

fasterRaster

Faster Raster and Spatial Vector Processing Using 'GRASS GIS'

clusterPoints,GVector-method function

<dl><dt>x</dt>
<dd>A "points" <code>GVector</code>.</dd>
<dt>method</dt>
<dd>Character: Method used to identify clusters. Explanations of methods are provided in the help page for the GRASS module <code>v.cluster</code>, available using <code>grassHelp("v.cluster")</code>.<ul>
<li><code>"DBSCAN"</code> (default): Density-Based Spatial Clustering of Applications with Noise.</li>
<li><code>"DBSCAN2"</code>: A modification of DBSCAN.</li>
<li><code>"density"</code>: Cluster points by relative density.</li>
<li><code>"OPTICS"</code>: Ordering Points to Identify the Clustering Structure</li>
<li><code>"OPTICS2"</code>: A modification of OPTICS.</li>
</ul></dd>Case is ignored, but partial matching is not used.
<dt>minIn</dt>
<dd>Integer, numeric integer, or <code>NULL</code> (default): Minimum number of points in a cluster. If <code>NULL</code>, then <code>minIn</code> is set to 3 for a 2-dimensional vector and 4 for a 3-dimensional vector.</dd>
<dt>maxDist</dt>
<dd>Numeric or <code>NULL</code> (default): Maximum distance between neighboring points in a cluster for DBSCAN, DBSCAN2, and OPTICS. If <code>NULL</code>, the maximum distance will be set to the 99th quantile of observed pairwise distances between points.</dd></dl>

Arguments

Identify clusters of points — clusterPoints,GVector-method

<dl>

<dt>x</dt>
<dd>A "points" <code>GVector</code>.</dd>


<dt>method</dt>
<dd>Character: Method used to identify clusters. Explanations of methods are provided in the help page for the GRASS module <code>v.cluster</code>, available using <code>grassHelp("v.cluster")</code>.<ul>
<li><code>"DBSCAN"</code> (default): Density-Based Spatial Clustering of Applications with Noise.</li>
<li><code>"DBSCAN2"</code>: A modification of DBSCAN.</li>
<li><code>"density"</code>: Cluster points by relative density.</li>
<li><code>"OPTICS"</code>: Ordering Points to Identify the Clustering Structure</li>
<li><code>"OPTICS2"</code>: A modification of OPTICS.</li>
</ul>

Case is ignored, but partial matching is not used.</dd>


<dt>minIn</dt>
<dd>Integer, numeric integer, or <code>NULL</code> (default): Minimum number of points in a cluster. If <code>NULL</code>, then <code>minIn</code> is set to 3 for a 2-dimensional vector and 4 for a 3-dimensional vector.</dd>


<dt>maxDist</dt>
<dd>Numeric or <code>NULL</code> (default): Maximum distance between neighboring points in a cluster for DBSCAN, DBSCAN2, and OPTICS. If <code>NULL</code>, the maximum distance will be set to the 99th quantile of observed pairwise distances between points.</dd>

</dl>

clusterPoints,GVector-method: Identify clusters of points

Description

Usage

Value

Arguments

See Also