tutorial

A dataset containing a MADproject object called 'tutorial'

datasets

Supplements the 'MAD#' software (see <http://mad.codeplex.com/>,
or Osorio-Murillo, et al. (2015) <doi:10.1016/j.envsoft.2015.01.002>) that
implements the Method of Anchored Distributions for inferring geostatistical
parameters (see Rubin, et al. (2010) <doi:10.1029/2009WR008799>). Reads 'MAD#'
result databases, performs dimension reduction on inversion data, calculates
likelihoods and posteriors, and tests for convergence. Also generates plots
to summarize results.

Heather Savoy

anchoredDistr

Post-Processing for the Method of Anchored Distributions

tutorial function

A MADproject object with an observed head at three wells, 145
prior samples, realizations for each sample, and true values for
validation where the parameters to be inferred are four anchors of the
local decimal log transmissivity of a 1D aquifer<dl class="dl-horizontal">
 <dt>@observations</dt><dd>three head measurements, in meters</dd>
 <dt>@realizations</dt><dd>the ensemble of simulated head measurements</dd>
 <dt>@numAnchors</dt><dd>the value 4</dd>
 <dt>@priors</dt><dd>the samples for each anchor's prior distribution
 based on the kriging mean and variance at the anchor locations</dd>
</dl>

Format

anchoredDistr example data — tutorial

A MADproject object with an observed head at three wells, 145
prior samples, realizations for each sample, and true values for
validation where the parameters to be inferred are four anchors of the
local decimal log transmissivity of a 1D aquifer<dl class='dl-horizontal'>
 <dt>@observations</dt><dd>three head measurements, in meters</dd>
 <dt>@realizations</dt><dd>the ensemble of simulated head measurements</dd>
 <dt>@numAnchors</dt><dd>the value 4</dd>
 <dt>@priors</dt><dd>the samples for each anchor's prior distribution
 based on the kriging mean and variance at the anchor locations</dd>
</dl>

tutorial: anchoredDistr example data

Description

Usage

Arguments

Format