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 details

AuthorTrent McDonald [cre, aut], Aidan McDonald [aut] (HIP sampling methods), Michael Kleinsausser [ctb], Stefan Emmons [ctb] (Auto testing and Travis)
MaintainerTrent McDonald <tmcdonald@west-inc.com>
LicenseGNU General Public License
Version2.1.11
URL https://github.com/tmcd82070/SDraw/wiki/SDraw
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SDraw")

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SDraw documentation built on April 1, 2020, 1:07 a.m.