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'.
Package details |
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Author | Trent McDonald [cre, aut], Aidan McDonald [aut] (HIP sampling methods), Michael Kleinsausser [ctb], Stefan Emmons [ctb] (Auto testing and Travis) |
Maintainer | Trent McDonald <tmcdonald@west-inc.com> |
License | GNU General Public License |
Version | 2.1.13 |
URL | https://github.com/tmcd82070/SDraw/wiki/SDraw |
Package repository | View on CRAN |
Installation |
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