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SDraw 2.1.7 (Unpublished: 2019-03-05; commit 870e7e08fa)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SDraw 2.1.6 (Unpublished: 2019-03-05)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SDraw 2.1.5 (Unpublished: 2019-03-04)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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.1.8 by Trent McDonald, 9 months ago

Report a bug at

Browse source code at

Authors: Trent McDonald [cre, aut] , Aidan McDonald [aut] (HIP sampling methods) , Michael Kleinsausser [ctb]

Documentation:   PDF Manual  

GNU General Public License license

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

Depends on sp

Suggests knitr

Imported by spatialfusion.

See at CRAN