mathiasisaksen/GRFics: Efficient generation of noise functions from approximate Gaussian random fields
GRFics is an R library for efficient generation and interpolation of noise functions generated from two-dimensional Gaussian random fields (GRFs). This is done using a Gaussian Markov random field (GMRF) approximation based on a stochastic partial differential equation (SPDE). A periodic boundary condition is used, leading to noise functions that are periodic along the vertical and horizontal boundaries.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Mathias Isaksen |
| Maintainer | Mathias Isaksen <mathiasleanderi@gmail.com> |
| License | MIT |
| Version | 2.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
