GeoStatsImages.jl
Training images for geostastical simulation in Julia.
This package converts famous training images from the geostatistcs literature to a standard format for quick experimentation in Julia. It is part of the GeoStats.jl framework and can be used in conjunction with multiple-point simulation solvers.
The author does not hold any copyright on the data. Please give credit to the sources in the table.
Installation
Get the latest stable release with Julia's package manager:
] add GeoStatsImagesUsage
TI = geostatsimage(identifier)where identifier can be any of the strings listed with the command GeoStatsImages.available()
Preview
| Identifier | Preview | Type | Data source |
|---|---|---|---|
| WalkerLake |  |
Continuous | Mariethoz & Caers, 2014 |
| WalkerLakeTruth |  |
Continuous | Mariethoz & Caers, 2014 |
| StoneWall |  |
Continuous | Mariethoz & Caers 2014 |
| Herten |  |
Continuous | Mariethoz & Caers 2014 |
| Lena |  |
Continuous | Mariethoz & Caers 2014 |
| StanfordV |  |
Continuous | Mao & Journel 2014 |
| Gaussian30x10 |  |
Continuous | Hoffimann 2020 |
| Strebelle |  |
Categorical | Strebelle 2002 |
| Ellipsoids |  |
Categorical | Mariethoz & Caers 2014 |
| WestCoastAfrica |  |
Categorical | Mariethoz & Caers 2014 |
| Flumy |  |
Categorical | Hoffimann et al 2017 |
| Fluvsim |  |
Categorical | Mariethoz & Caers, 2014 |
| Ketton |  |
Categorical | Imperial College Pore-Scale Modelling Group |
Collections
FlumeContinuous
FlumeBinary
Contributing
Contributions are very welcome, as are feature requests and suggestions.
If you have any questions, please contact our community on the gitter channel.