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'.

Package overview BAS for point resources explained HIP for point resources explained HIP for polygon resources explained Balanced Acceptance Sampling (BAS) for Points" Halton Iterative Partitioning (HIP) Sampling for Points" Halton Iterative Partitioning (HIP) Sampling for Polygons"

Vignettes Man pages API and functions Files

Package details
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	Install the latest version of this package by entering the following in R: `install.packages("SDraw")`