SDraw: Spatially Balanced Samples of Spatial Objects

Routines for drawing samples from spatial objects, focused on spatially balanced algorithms. Draws Halton Iterative Partition (HIP) (Robertson et al., 2018; <doi:10.1007/s10651-018-0406-6>), Balanced Acceptance Samples (BAS) (Robertson et al., 2013; <doi:10.1111/biom.12059>), Generalized Random Tessellation Stratified (GRTS) (Stevens and Olsen, 2004; <doi:10.1198/016214504000000250>), Simple Systematic Samples (SSS) and Simple Random Samples (SRS) from point, line, and polygon resources. Frames are 'SpatialPoints', 'SpatialLines', or 'SpatialPolygons' objects from package 'sp'.

Version: 2.1.8
Depends: sp, R (≥ 2.10)
Imports: spsurvey, utils, rgeos, graphics, methods, deldir, stats
Suggests: knitr
Published: 2019-03-07
Author: Trent McDonald [cre, aut], Aidan McDonald [aut] (HIP sampling methods), Michael Kleinsausser [ctb]
Maintainer: Trent McDonald <tmcdonald at>
License: GPL-2 | GPL-3 [expanded from: GNU General Public License]
NeedsCompilation: no
Materials: NEWS
CRAN checks: SDraw results


Reference manual: SDraw.pdf
Vignettes: BAS for point resources explained
HIP for point resources explained
HIP for polygon resources explained
Package source: SDraw_2.1.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: SDraw_2.1.8.tgz, r-oldrel: SDraw_2.1.8.tgz
Old sources: SDraw archive


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