compute_neighbors_brute

Computes neighbors for each point in a set of coordinates using a greedy
approach. All pairwise distances are calculated to identify neighbors within
a specified distance threshold.

Provides efficient geospatial thinning algorithms to reduce
the density of coordinate data while maintaining spatial
relationships. Implements K-D Tree and brute-force distance-based
thinning, as well as grid-based and precision-based thinning methods.
For more information on the methods, see Elseberg et al. (2012)
<https://hdl.handle.net/10446/86202>.

Jorge Mestre-Tomás

GeoThinneR

Efficient Spatial Thinning of Species Occurrences

compute_neighbors_brute function

<dl><dt>coordinates</dt>
<dd>A matrix of coordinates to thin, with two columns representing longitude and latitude.</dd>
<dt>thin_dist</dt>
<dd>A positive numeric value representing the thinning distance in kilometers.</dd>
<dt>distance</dt>
<dd>A character string specifying the distance metric to use `c("haversine", "euclidean")`.</dd>
<dt>R</dt>
<dd>A numeric value representing the radius of the Earth in kilometers. The default is 6371 km.</dd></dl>

Arguments

Compute Neighbors Using Brute-Force — compute_neighbors_brute

<dl>

<dt>coordinates</dt>
<dd>A matrix of coordinates to thin, with two columns representing longitude and latitude.</dd>


<dt>thin_dist</dt>
<dd>A positive numeric value representing the thinning distance in kilometers.</dd>


<dt>distance</dt>
<dd>A character string specifying the distance metric to use `c("haversine", "euclidean")`.</dd>


<dt>R</dt>
<dd>A numeric value representing the radius of the Earth in kilometers. The default is 6371 km.</dd>

</dl>

compute_neighbors_brute: Compute Neighbors Using Brute-Force

Description

Usage

Value

Arguments

Examples