| Type: | Package |
| Title: | Poisson Disk Sampling in 2D and 3D |
| Version: | 0.1.3 |
| Maintainer: | Mike Cheng <mikefc@coolbutuseless.com> |
| Description: | Poisson disk sampling is a method of generating blue noise sample patterns where all samples are at least a specified distance apart. Poisson samples may be generated in two or three dimensions with this package. The algorithm used is an implementation of Bridson's "Fast Poisson disk sampling in arbitrary dimensions" <doi:10.1145%2F1278780.1278807>. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| URL: | https://github.com/coolbutuseless/poissoned |
| BugReports: | https://github.com/coolbutuseless/poissoned/issues |
| Suggests: | testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | yes |
| Packaged: | 2024-10-19 11:31:08 UTC; mike |
| Author: | Mike Cheng [aut, cre, cph] |
| Repository: | CRAN |
| Date/Publication: | 2024-10-21 12:30:07 UTC |
Generate Poisson disk samples in 2D
Description
Generate Poisson disk samples in 2D
Usage
poisson2d(w = 10, h = 10, r = 2, k = 30L, verbosity = 0L)
Arguments
w, h |
width and height of region |
r |
minimum distance between points |
k |
number of sample points to generate at each iteration. default 30 |
verbosity |
Verbosity level. default: 0 |
Value
data.frame with x and y coordinates. Points are returned in the order in which they were generated.
Examples
pts <- poisson2d(w = 40, h = 40, r = 1)
plot(pts, asp = 1, ann = FALSE, axes = FALSE, pch = 19)
Generate Poisson disk samples in 3D
Description
Generate Poisson disk samples in 3D
Usage
poisson3d(w = 10, h = 10, d = 10, r = 4, k = 30L, verbosity = 0L)
Arguments
w, h, d |
width and height and depth of region |
r |
minimum distance between points |
k |
number of sample points to generate at each iteration. default 30 |
verbosity |
Verbosity level. default: 0 |
Value
data.frame with x, y and z coordinates. Points are returned in the order in which they were generated.
Examples
poisson3d(w = 10, h = 10, d = 10, r = 5)