thin_by_dist

This function thins a dataset so that only observations that have a distance
from each other greater than "dist_min" are retained.

Fit species distribution models (SDMs) using the 'tidymodels' framework,
which provides a standardised interface to define models and process their
outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects,
models and metrics specific to SDMs,
as well as a number of specialised functions to process occurrences
for contemporary and palaeo datasets. The full
functionalities of the package are described
in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.

Andrea Manica

tidysdm

Species Distribution Models with Tidymodels

Michela Leonardi

Margherita Colucci

Andrea Vittorio Pozzi

Eleanor M.L. Scerri

Ben Tupper

thin_by_dist function

<dl><dt>data</dt>
<dd>An <code><a href="https://r-spatial.github.io/sf/reference/sf.html">sf::sf</a></code> data frame, or a data frame with coordinate
variables. These can be defined in <code>coords</code>, unless they have standard
names (see details below).</dd>
<dt>dist_min</dt>
<dd>Minimum distance between points (in units appropriate for the
projection, or meters for lonlat data).</dd>
<dt>coords</dt>
<dd>A vector of length two giving the names of the "x" and "y"
coordinates, as found in <code>data</code>. If left to NULL, the function will try to
guess the columns based on standard names <code>c("x", "y")</code>, <code>c("X","Y")</code>,
<code>c("longitude", "latitude")</code>, or <code>c("lon", "lat")</code></dd>
<dt>dist_method</dt>
<dd>method to compute distance, either "euclidean" or
"great_circle". Defaults to "great_circle", which is more accurate but
takes slightly longer.</dd></dl>

Arguments

Thin points dataset based on geographic distance — thin_by_dist

<dl>

<dt>data</dt>
<dd>An <code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf</a></code> data frame, or a data frame with coordinate
variables. These can be defined in <code>coords</code>, unless they have standard
names (see details below).</dd>


<dt>dist_min</dt>
<dd>Minimum distance between points (in units appropriate for the
projection, or meters for lonlat data).</dd>


<dt>coords</dt>
<dd>A vector of length two giving the names of the "x" and "y"
coordinates, as found in <code>data</code>. If left to NULL, the function will try to
guess the columns based on standard names <code>c("x", "y")</code>, <code>c("X","Y")</code>,
<code>c("longitude", "latitude")</code>, or <code>c("lon", "lat")</code></dd>


<dt>dist_method</dt>
<dd>method to compute distance, either "euclidean" or
"great_circle". Defaults to "great_circle", which is more accurate but
takes slightly longer.</dd>

</dl>

thin_by_dist: Thin points dataset based on geographic distance

Description

Usage

Value

Arguments

Details