filter_dist: Filter a set of occurrence data based on the multivariate...

In rsh249/vegdistmod: Vegetation distribution modeling and spatial informatics

Description

Given a table including localities and climate data,and a value of alpha this function will return the same table with statistical outliers removed according to the alpha-confidence interval of the multivariate likelihoods.

Usage

filter_dist(ext_ob, dens_ob, clim, min = 0, alpha = 0.01, type = ".kde",
  w = FALSE)

Arguments

ext_ob	A data.frame of climate values (i.e., extracted from the climate raster object). Will be passed to multiv_likelihood().
dens_ob	A density object from vegdistmod::densform(), vegdistmod::and_fun(), or vegdistmod::or_fun();
clim	A raster object of climate data (matching x)
min	The minimum likelihood to be kept. Will override the value of alpha given. Optional.
alpha	The value of alpha you would like to use for confidence interval construction. Default to 0.01 for a 99 percen confidence interval.
type	Designate either ".gauss" or ".kde".
w	To weight log-likelihoods by coefficient of variation or not.

Examples

## Not run: 

data(abies);
ext.abies = extraction(abies, climondbioclim, schema='raw');
dens.abies = densform(ext.abies, climondbioclim);
f <- 
 filter_dist(ext.abies, dens.abies, 
 climondbioclim, alpha = 0.01, type = '.kde')

## End(Not run)

rsh249/vegdistmod documentation built on May 28, 2019, 3:31 a.m.