localmean_cov

This function calculates the variance-covariance matrix using the local mean
estimator.

survey

A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more. For additional details, see Dumelle et al. (2023) <doi:10.18637/jss.v105.i03>.

Michael Dumelle

spsurvey

Spatial Sampling Design and Analysis

Tom Kincaid

Tony Olsen

Marc Weber

Don Stevens

Denis White

localmean_cov function

<dl><dt>zmat</dt>
<dd>Matrix of weighted response values or weighted residual values
for the sample points.</dd>
<dt>weight_1st</dt>
<dd>List from the local mean weight function containing two
elements: a matrix named <code>ij</code> composed of the index values of neighboring
points and a vector named <code>gwt</code> composed of weights.</dd></dl>

Arguments

Tom Kincaid <a href="/link/Kincaid.Tom%40epa.gov?package=spsurvey&version=5.5.1" data-mini-rdoc="spsurvey::Kincaid.Tom@epa.gov">Kincaid.Tom@epa.gov</a>

Author

Internal Function: Variance-Covariance Matrix Based on Local Mean Estimator — localmean_cov

<dl>

<dt>zmat</dt>
<dd>Matrix of weighted response values or weighted residual values
for the sample points.</dd>


<dt>weight_1st</dt>
<dd>List from the local mean weight function containing two
elements: a matrix named <code>ij</code> composed of the index values of neighboring
points and a vector named <code>gwt</code> composed of weights.</dd>

</dl>

Tom Kincaid <a href='mailto:Kincaid.Tom@epa.gov'>Kincaid.Tom@epa.gov</a>

localmean_cov: Internal Function: Variance-Covariance Matrix Based on Local Mean Estimator

Description

Usage

Value

Arguments

Author