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; ), Balanced Acceptance Samples (BAS) (Robertson et al., 2013; ), Generalized Random Tessellation Stratified (GRTS) (Stevens and Olsen, 2004; ), 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'.


SDraw 2.1.8 (Released: 2019-03-07)


  • Fixed DOI references in DESCRIPTION

SDraw 2.1.7 (Unpublished: 2019-03-05; commit 870e7e08fa)


  • Added references to DESCRIPTION
  • Fixed author field in DESCRIPTION

SDraw 2.1.6 (Unpublished: 2019-03-05)


  • Fixed uncompressed data issue.

SDraw 2.1.5 (Unpublished: 2019-03-04)


  • Added Halton Iterative Partitioning (HIP) sampling capability

Reference manual

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2.1.13 by Trent McDonald, a year ago

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Browse source code at

Authors: Trent McDonald [cre, aut] , Aidan McDonald [aut] (HIP sampling methods) , Michael Kleinsausser [ctb] , Stefan Emmons [ctb] (Auto testing and Travis)

Documentation:   PDF Manual  

GNU General Public License license

Imports spsurvey, utils, rgeos, graphics, methods, deldir, stats, covr

Depends on sp

Suggests knitr, testthat, devtools, roxygen2, markdown

Imported by spatialfusion.

See at CRAN