DSpat.covariates


Example set of raster covariates for computing predicted intensity/abundance across
the entire study area (100x100).


datasets

Fits inhomogeneous Poisson process spatial models
to line transect sampling data and provides estimate of
abundance within a region.

Jeff Laake

DSpat

Spatial Modelling for Distance Sampling Data

DSpat.covariates function

A data frame with 10000 (1x1 raster element) on the following 4 variables.
  <dl>
    <dt><code>x</code></dt><dd>x coordinate for mid-point of raster cell</dd> <dt><code>y</code></dt><dd>y coordinate for mid-point of raster cell</dd> <dt><code>river</code></dt><dd>distance from river to center of raster element</dd> <dt><code>habitat</code></dt><dd>type of habitat for raster element</dd> </dl> 

DSpat.covariates: Raster covariates study area

Description

Usage

Arguments

Format