elevation

Surface elevation data taken from <cite>Davis (1972)</cite>.

datasets

Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977) <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).

Andreas Papritz

georob

Robust Geostatistical Analysis of Spatial Data

elevation function

A data frame with 52 observations on the following 3 variables:<dl> <dt><code>x</code></dt>
<dd>a numeric vector with the easting coordinate in
 multiplies of 50 feet.</dd>
 <dt><code>y</code></dt>
<dd>a numeric vector with the northing coordinate in
 multiplies of 50 feet..</dd>
 <dt><code>height</code></dt>
<dd>a numeric vector with the elevation in
 multiples of 10 feet.</dd>
 
</dl>

Format

Elevation Data — elevation

A data frame with 52 observations on the following 3 variables:

<dl>

 <dt><code>x</code></dt>
<dd>a numeric vector with the easting coordinate in
 multiplies of 50 feet.</dd>


 <dt><code>y</code></dt>
<dd>a numeric vector with the northing coordinate in
 multiplies of 50 feet..</dd>


 <dt><code>height</code></dt>
<dd>a numeric vector with the elevation in
 multiples of 10 feet.</dd>


 
</dl>

elevation: Elevation Data

Description

Usage

Arguments

Format

Examples