localmean.df

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

weight.lst

<p>This function calculates the degrees of freedom of the local mean variance-
covariance estimator.</p>

These functions provide procedures for selecting sites for spatial
surveys using spatially balanced algorithms applied to discrete points,
linear networks, or polygons. The probability survey designs available
include independent random samples, stratified random samples, and unequal
probability random samples (categorical or probability proportional to
size).  Design-based estimation based on the results from surveys is
available for estimating totals, means, quantiles, CDFs, and linear models.
The analyses rely on package survey for most results.  Variance estimation
options include a local neighborhood variance estimator that is appropriate
for spatially-balanced survey designs.  A reference for the survey design
portion of the package is: D. L. Stevens, Jr. and A. R. Olsen (2004),
"Spatially-balanced sampling of natural resources.", Journal of the American
Statistical Association 99(465): 262-278, <DOI:10.1198/016214504000000250>.
Additional helpful references for this package are A. R. Olsen, T. M.
Kincaid, and Q. Payton (2012) and T. M. Kincaid and A. R. Olsen (2012), both
of which are chapters in the book "Design and Analysis of Long-Term
Ecological Monitoring Studies" (R. A. Gitzen, J. J. Millspaugh, A. B.
Cooper, and D. S. Licht (eds.), Cambridge University Press, New York,
<Online ISBN:9781139022422>).

Tom Kincaid

spsurvey

Spatial Survey Design and Analysis

Tony Olsen

Don Stevens

Christian Platt

Denis White

Richard Remington

localmean.df function

Internal Function: Degrees of Freedom for Local Mean Variance-Covariance
Estimator — localmean.df

Internal Function: Degrees of Freedom for Local Mean Variance-Covariance
Estimator

localmean.df: Internal Function: Degrees of Freedom for Local Mean Variance-Covariance Estimator

Description

Usage

Arguments

Value