This method performs some simple checks on the LKinfo object before it is returned by LKrigSetup. One benefit is that it checks for the essential components in each of the parts of the LKinfo object. Currently there is only a default method supplied.
This object is mainly designed to work with methods that take a set of locations organized on a grid. The object is a list where there are as many components as dimensions and each list component is a vector of values being the grid points in that dimension. It is consistent with the older use of the older grid.list format used in the fields package. This form is somewhat redundant because for an equally spaced grid all one needs is the beginning value, spacing and number of points but it makes it simpler to pass the grid information to functions such as image and contour.
These are the lower level functions to compute the distances among two sets of locations but being limited to distances less than a maximum threshold (see delta below ). These functions are useful for generating a sparse matrix on distances and evaluating a compactly supported function (such as the Wendland). The location - location method supports the distance metrics: Euclidean, spherical, componentwise and Manhattan. LKDistComponent and LKDistComponentGrid return the coordinate-wise distances and are useful for evaluating a tensor product basis functions.
This model is a simple geometry that assumes the first coordinate is periodic in the interval [0,360]. The remaining coordinates are regular (Euclidean). This might be used to approximate a section of spherical data that excludes the polar caps. These approximations are useful because one can take advantage of faster methods based on rectangular grids rather the more complex grids on a sphere. The disadvantage is that the mapping from these coordinates to the sphere is distorted as one gets close to the poles.
LKrigLatticeCenters
(Package: LatticeKrig) :
Methods to report the locations or scales associated with the lattice points.
These method takes the lattice information for a particular geometry from an LKinfo object and finds the locations or scales at each lattice points. These locations are the "nodes" or centers of the basis functions. The "scales" scales that distance function when the basis functions are evaluated and combine the spacing of lattice and the specificed overlap.