Bridging the gap between the Geostatistics Template library and Gocad. Application to non-scalar values on unstructured grids.

@inproceedings{31_remy1,
 abstract = { Unstructured grids are gaining significant interest in the geosciences community, thanks to the
recent development of geologically-constrained griding algorithms. Yet, efficient interpolation of
values on unstructured meshes remains a challenge. Discrete Smooth Interpolation has proven its
effectiveness in a number of applications, but one may still prefer kriging, for instance to easily account
for anisotropy. The Geostatistics Template Library (GsTL) makes up an appealing framework
to implement geostatistical algorithms on unstructured grids. Combining this generic library with the
Gocad development platform, a new kriging implementation for triangulated surfaces and tetrahedral
grids is proposed. This method is applied to the interpolation of directional data, a first step to model
locally varying anisotropy. },
 author = { Rémy, Nicolas AND Caumon, Guillaume AND Levy, Bruno },
 booktitle = { Proc. 24th Gocad Meeting, Nancy },
 title = { Bridging the gap between the Geostatistics Template library and Gocad. Application to non-scalar values on unstructured grids. },
 year = { 2004 }
}