pairs

pairs,DistModel-method

Pair plots of presence and absence (background) data.

spatial

Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.

Robert Hijmans

dismo

Species Distribution Modeling

pairs function

<dl>
pairs(x, v=NULL, pa='pa', hist=TRUE, cor=TRUE)
 
rll 
 <code>x</code> Object of class DistModel or derived from that class (such as 'MaxEnt', 'Bioclim') 
 <code>v</code> numeric, to select a subset of pairs, e.g. v=1:3 to plot only the first three variables 
 <code>pa</code> Character. Either 'pa', 'p', or 'a' to show presence and absence, presence, or absence data respectively 
 <code>hist</code> logical. If <code>TRUE</code> a histogram of the values is shown on the diagonal 
 <code>cor</code> logical. If <code>TRUE</code> the correlation coefficient is shown in the upper panels 
		</dl>

Methods

Author

Pair plots — pairs

<dl>
pairs(x, v=NULL, pa='pa', hist=TRUE, cor=TRUE)
 
rll 
 <code>x</code> Object of class DistModel or derived from that class (such as 'MaxEnt', 'Bioclim') 
 <code>v</code> numeric, to select a subset of pairs, e.g. v=1:3 to plot only the first three variables 
 <code>pa</code> Character. Either 'pa', 'p', or 'a' to show presence and absence, presence, or absence data respectively 
 <code>hist</code> logical. If <code>TRUE</code> a histogram of the values is shown on the diagonal 
 <code>cor</code> logical. If <code>TRUE</code> the correlation coefficient is shown in the upper panels 
		

</dl>

pairs: Pair plots

Description

Arguments

Methods

Author

See Also