mhweber/spsurvey: Spatial Survey Design and Analysis

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>).

install.packages("remotes")
remotes::install_github("mhweber/spsurvey")