Algorithms for spatial coverage sampling and for random sampling from compact geographical strata based on \(k\)-means.
D.J.J. Walvoort, D.J. Brus, J.J. de Gruijter,
Maintainer: Dennis Walvoort dennis.walvoort@wur.nl
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.
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 (tools:::Rd_expr_doi("10.1016/j.cageo.2010.04.005"))
stratify
for stratification, spsample
for sampling, and
estimate
for inference.