countyExample

county

knots

The U.S. legal/statistical areas, their median household income, and a
 matrix of knots provided only to facilitate illustrative examples.

datasets

Regionalization of multiscale spatial processes based on a criterion for spatial aggregation error. The multiscale representation is a truncated Karhunen-Loaeve expansion using Obled-Creutin eigenfunctions. The method is incorporated within a Bayesian framework using an MCMC implementation of a latent spatial model. Bradley, J. R., Wikle, C. K., and Holan, S. H. (2017) <doi:10.1111/rssb.12179>.

Shannon Holloway

rcage

Regionalization of Multiscale Spatial Processes

Jonathan R. Bradley

Christopher K. Wikle

Scott H. Holan

Shannon T. Holloway

countyExample function

countyExample contains 3 objects:<dl class="dl-horizontal">
 <dt>county</dt><dd>A SpatialPolygonsDataFrame containing 3109 areas. For each
 areal unit, the following data are defined</dd><dt>GEO_ID</dt><dd>identifier for legal/statistical area</dd>
 <dt>STATE</dt><dd>state containing the legal/statistical area</dd>
 <dt>NAME</dt><dd>name of the legal/statistical area </dd> 
 <dt>LSAD</dt><dd>legal/statistical area description</dd> 
 <dt>SHAPE_AREA</dt><dd>area of the county in square meters.</dd>
 <dt>SHAPE_LEN</dt><dd>perimeter of the county in meters.</dd><dt>ACS</dt><dd>A 3109x2 matrix containing the public-use American Community
 Survey (ACS) 2013 5-year estimated county-level median 
 household income and its variance.</dd><dt>LogMedianIncome</dt><dd>log of the estimated median household income.</dd>
 <dt>VarianceLMI</dt><dd>approximate variance of the log median 
 household income (using the Delta method).</dd><dt>knots</dt><dd>A 75x2 matrix of knots spanning the county data.</dd><dt>x</dt><dd>x coordinate</dd>
 <dt>y</dt><dd>y coordinate</dd></dl>

Format

U.S. Legal/Statistical Area Data — countyExample

U.S. Legal/Statistical Area Data

countyExample: U.S. Legal/Statistical Area Data

Description

Usage

Arguments

Format

References