altitude

Data frame with virtual altitudinal data. The data frame is
 used in the examples of the hSDM package vignette to derive an
 altitude raster determining species habitat suitability.

datasets

User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.

Ghislain Vieilledent

hSDM

Hierarchical Bayesian Species Distribution Models

Matthieu Autier

Alan E. Gelfand

Jérôme Guélat

Marc Kéry

Andrew M. Latimer

Cory Merow

Frédéric Mortier

John A. Silander Jr.

Adam M. Wilson

Shanshan Wu

CIRAD 

altitude function

<code>altitude</code> is a data frame with 2500 observations (50 x 50 cells) and 3 variables:<dl>
 <dt><code>x</code></dt>
<dd>coordinates of the center of the cell on the x axis</dd> <dt><code>y</code></dt>
<dd>coordinates of the center of the cell on the y axis</dd> <dt><code>altitude</code></dt>
<dd>altitude (m)</dd> 
</dl>

Format

Virtual altitudinal data — altitude

<code>altitude</code> is a data frame with 2500 observations (50 x 50 cells) and 3 variables:<dl>
 <dt><code>x</code></dt>
<dd>coordinates of the center of the cell on the x axis</dd>

 <dt><code>y</code></dt>
<dd>coordinates of the center of the cell on the y axis</dd>

 <dt><code>altitude</code></dt>
<dd>altitude (m)</dd>

 
</dl>

Virtual altitudinal data

altitude: Virtual altitudinal data

Description

Arguments

Format