This is the official implementation of the paper
- Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation
The examples presented in the paper are given in the examples.
Code to construct Gaussian random fields (GRFs) in space and time through stochastic partial differential equations (SPDEs).
- TODO
There are a couple of data used in the paper. They can be found at
DOI 10.17605/OSF.IO/NA3FQ.
To reproduce the examples in the paper put these datasets in the /src/spdepy/data/ folder.
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
spdepy was created by Martin Outzen Berild. It is licensed under the terms of the MIT license.
spdepy was created with cookiecutter and the py-pkgs-cookiecutter template.