dataelev

Surface elevation data taken from Davis (1972). An onject of the class geodata with elevation values at 52 locations.

It makes an objective Bayesian analysis of the spatial regression model using both the normal (NSR) and student-T (TSR) distributions. The functions provided give prior and posterior objective densities and allow default Bayesian estimation of the model regression parameters. Details can be found in Ordonez et al. (2020) <arXiv:2004.04341>.

Alejandro Ordonez

OBASpatial

Objective Bayesian Analysis for Spatial Regression Models

dataelev function

A data frame with 52 observations on the following 3 variables.<dl>
 <dt><code>x</code></dt>
<dd>X coordinate (multiple of 50 feet).</dd> <dt><code>y</code></dt>
<dd>Y coordinate (multiple of 50 feet).</dd> <dt><code>elevation</code></dt>
<dd>elevations (multiples of 10 feet).</dd> 
</dl>

Format

Surface elevations — dataelev

A data frame with 52 observations on the following 3 variables.<dl>
 <dt><code>x</code></dt>
<dd>X coordinate (multiple of 50 feet).</dd>

 <dt><code>y</code></dt>
<dd>Y coordinate (multiple of 50 feet).</dd>

 <dt><code>elevation</code></dt>
<dd>elevations (multiples of 10 feet).</dd>

 
</dl>

dataelev: Surface elevations

Description

Usage

Arguments

Format

References