Missouri

Contents the data of TCDD concentrations used for Zirschky et al. in his geostatistical analysis of Hazardous waste data in Missouri.

datasets

It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model. More details can be found in Ordonez et al. (2018) <doi:10.1016/j.spasta.2017.12.001>.

Alejandro Ordonez

CensSpatial

Censored Spatial Models

Missouri function

A data frame with 127 observations on the following 5 variables.<dl>
 <dt><code>V1</code></dt>
<dd>x coordinate of start of each transect (ft).</dd> <dt><code>V2</code></dt>
<dd>y coordinate of start of each transect (ft).</dd> <dt><code>V3</code></dt>
<dd>TCDD Concentrations (mg/m^3).</dd> <dt><code>V4</code></dt>
<dd>transect length (ft).</dd> <dt><code>V5</code></dt>
<dd>indicator of censure (left censure in all data).</dd> 
</dl>

Format

TCDD concentrations in Missouri (1971). — Missouri

A data frame with 127 observations on the following 5 variables.<dl>
 <dt><code>V1</code></dt>
<dd>x coordinate of start of each transect (ft).</dd>

 <dt><code>V2</code></dt>
<dd>y coordinate of start of each transect (ft).</dd>

 <dt><code>V3</code></dt>
<dd>TCDD Concentrations (mg/m^3).</dd>

 <dt><code>V4</code></dt>
<dd>transect length (ft).</dd>

 <dt><code>V5</code></dt>
<dd>indicator of censure (left censure in all data).</dd>

 
</dl>

Missouri: TCDD concentrations in Missouri (1971).

Description

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Examples