SDrawNPS-package: Selection of spatially balanced samples.
In tmcd82070/SDrawNPS: Sample Draw NPS

Description Details Author(s) References See Also Examples

SDrawNPS is a GUI interface to a set of R functions that draw Generalized-Random-Tesselation-Stratified (GRTS) samples. Input sampling frames can be points (0-D, finite), lines (1-D, infinite), or polygons (2-D, infinite), and can be contained in ESRI shapefiles (SHP), Google Earth files (KML), Garmin files (GPX), or CSV files. Functionality to visualize the frame and sample is included.

Package:	SDrawNPS
Type:	Package
License:	GNU General Public License
Dependencies:	RGtk2, sp, spsurvey, utils, rgdal

When SDrawNPS is attached (via library(SDrawNPS)), a new menu item appears in the (Windows) R interface. This menu ('SDrawNPS') contains items which call dialog boxes, or Graphical User Interfaces (GUIs) that implement the interface to functions that actually do the work of drawing and analyzing samples.

The function that actually draws the samples is grts (for GRTS samples), while the functions that analyzes samples are cat.analysis and cont.analysis. All three are taken straight from package spsurvey. The main purpose of SDrawNPS is to provide a simple-to-use interface to these routines. These routines, however, could be called directly in code if needed.

GRTS samples can be drawn from resources having at most 2 dimensions.

The general work flow for drawing a sample from a 2-dimensional resource is as follows:

1:	Open the appropriate item under the SDrawNPS menu (or execute the appropriate GUI function, e.g., `equi.GUI()`);
2:	Select GRTS as the sampling algorithm (GRTS);
3:	Input appropriate parameters for the sampling of interest;
4:	Browse for a shapefile containing a 2-D polygon of the study area;
5:	Hit 'Run'.

Trent McDonald tmcdonald@west-inc.com, Jason Mitchell, Guy DiDonato, and David Russo wrote the GUI interfaces. Leigh Ann Starcevich wrote the design-weight adjustment routine.

The GRTS routine comes from package spsurvey, as do the routines associated with sampling analysis. All the difficult routines of the GUI interface are in RGtk2, while routines to handle spatial objects are in package sp and rgdal.

Kincaid, T. (2015). Analysis of a GRTS Survey Design for a Finite Resource. Accessed online May 6, 2016.. https://cran.r-project.org/web/packages/spsurvey/vignettes/Finite_Analysis.pdf.

Kincaid, T. (2015). Analysis of a GRTS Survey Design for an Area Resource. Accessed online May 6, 2016. https://cran.r-project.org/web/packages/spsurvey/vignettes/Area_Analysis.pdf.

Kincaid, T. (2015). GRTS Survey Designs for an Area Resource. Accessed online May 6, 2016. https://cran.r-project.org/web/packages/spsurvey/vignettes/Area_Design.pdf.

McDonald, T. L. (2012) Spatial sampling designs for long-term ecological monitoring. In R. A. Gitzen, J. J. Millspaugh, A. B. Cooper, and D. S. Licht (Eds.), Design and Analysis of Long-term Ecological Monitoring Studies, Chapter 5, pp. 101-125. Cambridge: Cambridge University Press.

McDonald, T. L. (2015) Sampling Designs for Environmental Monitoring. In B. F. J. Manly and J. A. Navarro Alberto (Eds.), Introduction to Ecological Sampling, Chapter 10, pp. 145-166. Boca Raton, FL: CRC Press.

Robertson, B.L., J. A. Brown, T. L. McDonald, and P. Jaksons (2013) "BAS: Balanced Acceptance Sampling of Natural Resources", Biometrics, v69, p. 776-784.

Starcevich L. A., DiDonato G., McDonald T., Mitchell, J. (2016). A GRTS User's Manual for the SDrawNPS Package: A graphical user interface for Generalized Random Tessellation Stratified (GRTS) sampling and estimation. National Park Service, U.S. Department of the Interior. Natural Resource Report NPS/XXXX/NRR—20XX/XXX.

Stevens, D. L., Jr. and A. R. Olsen (2004) "Spatially balanced sampling of natural resources." Journal of the American Statistical Association 99, 262-278.

Documentation for package spsurvey, available at https://cran.r-project.org/web/packages/spsurvey/spsurvey.pdf.

equi.GUI()        # Start the equi-probable interface
stratified.GUI()  # Start the stratified interface
unequal.GUI()     # Start the unequal probability interface
analysis.GUI()    # Start the analysis interface