thin.algorithm

A data frame of long/lat points for each presence record. The 
data.frame should be a two-column data frame, one column of long and one of 
lat

rec.df.orig

Thinning parameter - the distance (in kilometers) that you want
records to be separated by.

thin.par

The number of times to repete the thinning process. Given the random
process of removing nearest-neighbors there should be 'rep' number of different
sets of coordinates.

reps

<code>thin.algorithm</code> implements a randomization approach to
spatially thinning species occurence data. This function is the algorithm underlying
the <code><a rd-options="" href="/link/thin?package=spThin&version=0.2.0" data-mini-rdoc="spThin::thin">thin</a></code> function.

A set of functions that can be used to spatially thin
species occurrence data. The resulting thinned data can be used in ecological
modeling, such as ecological niche modeling.

Matthew Aiello-Lammens

spThin

Functions for Spatial Thinning of Species Occurrence Records for
Use in Ecological Models

Matthew E. Aiello-Lammens

Robert A. Boria

Aleksandar Radosavljevic

Bruno Vilela

Robert P. Anderson

Robert Bjornson

Steve Weston

thin.algorithm function

<code>thin.algorithm</code> implements a randomization approach to
spatially thinning species occurence data. This function is the algorithm underlying
the <code><a rd-options='' href='thin'>thin</a></code> function.

thin.algorithm: Implements random spatial thinning algorithm

Description

Usage

Arguments

Value