a matrix of size n by dimensions(manifold) indicating centres of basis functions
scale
vector of length n containing the scale parameters of the basis functions; see details
type
either "bisquare", "Gaussian", "exp", or "Matern32"
res
vector of length n containing the resolutions of the basis functions
regular
logical indicating if the basis functions (of each resolution) are in a regular grid
Details
This functions lays out local basis functions in a domain of interest based on pre-specified location and scale parameters. If type is ``bisquare'', then
$$\phi(u) = \left(1- \left(\frac{\| u \|}{R}\right)^2\right)^2 I(\|u\| < R),$$
and scale is given by \(R\), the range of support of the bisquare function. If type is ``Gaussian'', then
$$\phi(u) = \exp\left(-\frac{\|u \|^2}{2\sigma^2}\right),$$
and scale is given by \(\sigma\), the standard deviation. If type is ``exp'', then
$$\phi(u) = \exp\left(-\frac{\|u\|}{ \tau}\right),$$
and scale is given by \(\tau\), the e-folding length. If type is ``Matern32'', then
$$\phi(u) = \left(1 + \frac{\sqrt{3}\|u\|}{\kappa}\right)\exp\left(-\frac{\sqrt{3}\| u \|}{\kappa}\right),$$
and scale is given by \(\kappa\), the function's scale.
See Also
auto_basis for constructing basis functions automatically, and show_basis for visualising basis functions.