sim.data

This binomial data-set was simulated by generating a zero-mean stationary Gaussian process over a 35 by 35 grid covering the unit square with Matern correlation sturcture. The parameters used in the simulation are \(\sigma^2 = 0.7\), \(\phi = 0.15\), \(\kappa = 1.5\) and \(\tau^2 = 0\). The nugget effect was not included, hence <code>tau2 = 0</code>.
The variables are as follows:<ul>
<li><code>data</code> simulated values of the Gaussian process.</li>
<li><code>y</code> binomial observations.</li>
<li><code>units.m</code> binomial denominators.</li>
<li><code>geometry</code> X and Y coordinates.</li>
</ul>

datasets

Functions for constructing sampling designs, including spatially
random, inhibitory (simple or with close pairs), both discrete and continuous, and
adaptive designs. For details on the methods, see the following references:
Chipeta et al. (2016) <doi:10.1016/j.spasta.2015.12.004>
and Chipeta et al. (2016) <doi:10.1002/env.2425>.

Michael Chipeta

geosample

Construction of Geostatistical Sampling Designs

sim.data function

A data frame with 1225 rows and 5 variables

sim.data: Simulated binomial data-set over the unit square

Description

Usage

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Format