From RGeostats to gstlearn!

Here you can report the problems encountered when using a function relative to the variography:
- experimental variography (vario.calc, vario.grid, vmap.calc, ...)
- model fitting (model.auto)

From RGeostats to gstlearn!

Postby Fabien Ors » Mon Sep 11, 2023 9:01 am

Dear all

We are please to inform you that the gstlearn C++ library and gstlearn R/Python packages have been published.
The gstlearn R package is the new toolbox dedicated to our Geostatistical studies.
It implements all RGeostats features and a lot of new developments made available through a new R and Python programming interface!
Such new features are, for example:
- SPDE for spatio-temporal use cases
- Geostatistics on Remanian varieties
- Local anisotropies with SPDE
New research axes currently developed are:
- Spatio-temporal models
- Extrema models
- Geostatistics and Machine Learning hybridization

Please have a look to the gstlearn website and browse our Python and R tutorials in the "Documentation"' section :

Image

https://gstlearn.org
Fabien Ors
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