Figure Properties - SERC

griddatan
2griddatan
Purpose Data gridding and hypersurface fitting (dimension >= 2)
Syntax yi = griddatan(X,y,xi)
yi = griddatan(x,y,z,v,xi,yi,zi,method)
yi = griddatan(x,y,z,v,xi,yi,zi,method,options)
Description yi = griddatan(X, y, xi) fits a hyper-surface of the form y = f( X)
to the
data in the (usually) nonuniformly-spaced vectors (X, y). griddatan
interpolates this hyper-surface at the points specified by xi to produce yi. xi
can be nonuniform.
2-998
X is of dimension m-by-n, representing m points in n-dimensional space. y is of
dimension m-by-1, representing m values of the hyper-surface f (X). xi is a vector
of size p-by-n, representing p points in the n-dimensional space whose surface
value is to be fitted. yi is a vector of length p approximating the values f
(xi).
The hypersurface always goes through the data points (X,y). xi is usually a
uniform grid (as produced by meshgrid).
yi = griddatan(x,y,z,v,xi,yi,zi,method) defines the type of surface fit to
the data, where 'method' is one of:
'linear' Tessellation-based linear interpolation (default)
'nearest' Nearest neighbor interpolation
All the methods are based on a Delaunay tessellation of the data.
If method is [], the default 'linear' method is used.
yi = griddatan(x,y,z,v,xi,yi,zi,method,options) specifies a cell array of
strings options to be used in Qhull via delaunayn.
If options is [], the default options are used. If options is {''}, no options are
used, not even the default.
Algorithm The griddatan methods are based on a Delaunay triangulation of the data that
uses Qhull [2]. For information about Qhull, see http://www.qhull.org/. For
copyright information, see http://www.qhull.org/COPYING.txt.
See Also delaunayn, griddata, griddata3, meshgrid