neighbors.Latimer2006

<p>Data come from a small region including 476 one minute by
one minute grid cells. This region is is a small corner of South
Africa's Cape Floristic Region, and includes very high plant species
diversity and a World Biosphere Reserve. The data frame can be used as
an example for several functions in the <code>hSDM</code> package.</p>

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 

neighbors.Latimer2006 function


  
<p><code>neighbors.Latimer2006</code> is a vector of 3542 integers indicating
  the neighbors (adjacent cells) of each spatial cell. The vector is of
  the form c(neighbors of cell 1, neighbors of cell 2, ... , neighbors
  of the last cell).</p>

Format

Neighborhood data (from Latimer et al. 2006) — neighbors.Latimer2006

Neighborhood data (from Latimer et al. 2006)

neighbors.Latimer2006: Neighborhood data (from Latimer et al. 2006)

Description

Arguments

Format

References