Area-to-point Kriging
Generate stocastic Gaussian realization constrained to a coarse scale image.
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2D, Gaussian.
You will need to provide the covariance (or variogram) structure, the up-scaling matrix G and the coarse scale value Z. See example folder for details of the methods and script.m for example how to use the function.
More information on https://rafnuss-phd.github.io/A2PK/
Cite As
Rafnuss (2026). Area-to-point Kriging (https://github.com/Rafnuss-PhD/A2PK), GitHub. Retrieved .
Nussbaumer, Raphael, et al. Simulation of Fine-Scale Electrical Conductivity Fields Using Tomograms and Area-to-Point Kriging. Unpublished, 2018, doi:10.13140/rg.2.2.31712.12801.
Nussbaumer, Raphaël, and Mathieu Gravey. Rafnuss-PhD/A2PK v2.0. Zenodo, 2019, doi:10.5281/zenodo.2620876.
Acknowledgements
Inspired: Conservative regridding
General Information
- Version 2.1.0.0 (24.9 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.1.0.0 | correct FGS and more efficient computation of G |
||
| 2.0.0.0 | Faster computation of the weights, cleaner code. |
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| 1.0.0.0 |
