spcosa-package: Spatial Coverage Sampling and Random Sampling from Compact...

In spcosa: Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata

Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata

Description

Algorithms for spatial coverage sampling and for random sampling from compact geographical strata based on k-means.

Details

The spcosa-package provides algorithms for spatial coverage sampling and for random sampling from compact geographical strata based on k-means (see de Gruijter et al., 2006, Walvoort et al., 2010, and kmeans). S4-classes and methods are available for spatial coverage sampling, random sampling from compact geographical strata, and stratified simple random sampling for composites. In case of spatial coverage sampling, existing sampling points may be taken into account. See the package vignette for more information and examples.

Note

In order to get the spcosa-package running, make sure that a recent version of Java is installed. Free Java downloads are available at https://www.java.com.

Author(s)

D.J.J. Walvoort, D.J. Brus, J.J. de Gruijter,

Maintainer: Dennis Walvoort [e-mail]

References

Brus, D. J., Spatjens, L. E. E. M., and de Gruijter, J. J. (1999). A sampling scheme for estimating the mean extractable phosphorus concentration of fields for environmental regulation. Geoderma 89:129-148

de Gruijter, J. J., Brus, D. J., Bierkens, M. F. P., and Knotters, M. (2006). Sampling for Natural Resource Monitoring Berlin: Springer-Verlag.

Walvoort, D., Brus, D. and de Gruijter, J. (2009). Spatial Coverage Sampling on Various Spatial Scales. Pedometron 26:20-22

Walvoort, D. J. J., Brus, D. J. and de Gruijter, J. J. (2010). An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means. Computers & Geosciences 36: 1261-1267 (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.cageo.2010.04.005")})

See Also

stratify for stratification, spsample for sampling, and estimate for inference.

spcosa documentation built on April 11, 2023, 6:04 p.m.