carlinadata

A data frame containing simulated count data for the thistle, Carlina horrida.

datasets

Functions for spatial methods based on generalized estimating equations (GEE) and
wavelet-revised methods (WRM), functions for scaling by wavelet multiresolution regression (WMRR),
conducting multi-model inference, and stepwise model selection. Further, contains functions
for spatially corrected model accuracy measures.

Sam Levin

spind

Spatial Methods and Indices

carlinadata function

A data frame with 961 rows and 5 columns<dl class="dl-horizontal">
 <dt>carlina.horrida</dt><dd>integer - Simulated count data</dd>
 <dt>aridity</dt><dd>numeric - Simulated aridity index values. This variable has high spatial autocorrelation
 values.</dd>
 <dt>land.use</dt><dd>numeric - Simulated land use intensity. This variable has no spatial autocorrelation.</dd>
 <dt>x</dt><dd>integer - x-coordinates for each grid cell</dd>
 <dt>y</dt><dd>integer - y-coordinates for each grid cell</dd>
</dl>

Format

Carlina data set — carlinadata

A data frame with 961 rows and 5 columns<dl class='dl-horizontal'>
 <dt>carlina.horrida</dt><dd>integer - Simulated count data</dd>
 <dt>aridity</dt><dd>numeric - Simulated aridity index values. This variable has high spatial autocorrelation
 values.</dd>
 <dt>land.use</dt><dd>numeric - Simulated land use intensity. This variable has no spatial autocorrelation.</dd>
 <dt>x</dt><dd>integer - x-coordinates for each grid cell</dd>
 <dt>y</dt><dd>integer - y-coordinates for each grid cell</dd>
</dl>

carlinadata: Carlina data set

Description

Usage

Arguments

Format