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'.


News

SDraw 2.1.8 (Released: 2019-03-07)

Changes:

  • Fixed DOI references in DESCRIPTION

SDraw 2.1.7 (Unpublished: 2019-03-05; commit 870e7e08fa)

Changes:

  • Added references to DESCRIPTION
  • Fixed author field in DESCRIPTION

SDraw 2.1.6 (Unpublished: 2019-03-05)

Changes:

  • Fixed uncompressed data issue.

SDraw 2.1.5 (Unpublished: 2019-03-04)

Changes:

  • Added Halton Iterative Partitioning (HIP) sampling capability

Reference manual

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install.packages("SDraw")

2.1.8 by Trent McDonald, 9 months ago


https://github.com/tmcd82070/SDraw/wiki/SDraw


Report a bug at https://github.com/tmcd82070/SDraw/issues


Browse source code at https://github.com/cran/SDraw


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