ranho

hadr

<p>This function constructs randomized hierarchical addresses for a GRTS survey
design.</p>

survey

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>).

Marc Weber

spsurvey

Spatial Survey Design and Analysis

Tom Kincaid

Tony Olsen

Don Stevens

Christian Platt

Denis White

Richard Remington

ranho function

Construct Randomized Hierarchical Addresses for a Generalized
Random-Tesselation Stratified (GRTS) Survey Design — ranho

Construct Randomized Hierarchical Addresses for a Generalized
Random-Tesselation Stratified (GRTS) Survey Design

ranho: Construct Randomized Hierarchical Addresses for a Generalized Random-Tesselation Stratified (GRTS) Survey Design

Description

Usage

Arguments

Value