README.md

In guiludwig/bsplinedef: Spatial Deformation via Tensor Product of B-splines

bsplinedef

Spatial deformation using b-splines

Computes coordinate transformations of the form $(y1, y2) = (f1(x1, x2), f2(x1, x2))$ for spatial regression, where a spatial process $Y$ on $(y1, y2)$ has known stationary covariance function. The functions $f1$ and $f2$ are obtained via the tensor product of B-splines, with a regularization penalty to ensure $f1$, $f2$ are injective functions. The case for $Y$ Gaussian with general covariance function is implemented, as well as documentation for extensions to different spatial covariance functions.

guiludwig/bsplinedef documentation built on May 16, 2020, 10:24 p.m.