background.points.buffer

A two column data frame with X and Y coordinates

points

Radius for circular buffers to draw around points, in meters.

radius

Sample size for number of background points to return

A raster to use as a mask for drawing points

mask

Takes a set of points, a buffer radius, a sample size, and a mask and returns
randomly sampled points from within that buffer radius.
Code modified from Elith and Hijmans SDM with R tutorial

Description: Tools for constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.

Dan Warren

ENMTools

Analysis of Niche Evolution using Niche and Distribution Models

Nick Matzke

Marcel Cardillo

John Baumgartner

Linda Beaumont

Nicholas Huron

Marianna Simoes

Teresa Iglesias

Russell Dinnage

background.points.buffer function

Takes a set of points, a buffer radius, a sample size, and a mask and returns
randomly sampled points from within that buffer radius.
Code modified from Elith and Hijmans SDM with R tutorial — background.points.buffer

Takes a set of points, a buffer radius, a sample size, and a mask and returns
randomly sampled points from within that buffer radius.
Code modified from Elith and Hijmans SDM with R tutorial

background.points.buffer: Takes a set of points, a buffer radius, a sample size, and a mask and returns randomly sampled points from within that buffer radius. Code modified from Elith and Hijmans SDM with R tutorial

Description

Usage

Arguments

Value