localmean.weight2

Vector of x-coordinates for location of the sample points.

Vector of y-coordinates for location of the sample points.

Vector of inclusion probabilities for the sample points.

Number of neighboring points to use in the calculations.

This function calculates the initial section of the localmean.weight function
and serves to allow recovery from an error in the singular value
decomposition function (La.svd) that is called by the generalized inverse
function (ginv) in the MASS package.

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

localmean.weight2: Internal Function: Recovery from a Singular Value Decomposition Error

Description

Usage

Arguments

Value