csa2lxs is called to find values for an approximating cubic spline for
two-dimensional input data at a list of specified coordinates.
is called if you want to
the input data values,
sparse areas specially.
If you do not want to do any of these three things, then use
Note: This function is only available in version 4.1.1 of
NCL. If your site is licensed for version 4.1, then you can get
version 4.1.1 for free. To get version 4.1.1 of NCAR Graphics
software, please contact your site representative. If you don't know
who your site representative is, then send email to firstname.lastname@example.org or call (303)
xi[*] : float,
yi[*] : float,
zi[*] : float,
wts[*] : float,
knots : integer
smth : float
nderiv : integer
xo[*] : float
yo[*] : float
- A one-dimensional array of any size containing the X coordinates of the
input data points.
- A one-dimensional array of the same size as xi containing the Y
coordinates of the input data points.
- A one-dimensional array of the same size as xi and yi
containing the functional values at the input data coordinates given
by xi and yi. zi[k] is the input function
value at (xi[k],yi[k]) for k=0 to
- An array containing weights for the zi values at the input
xi and yi values,
that is, wts(k) is a weight for the value
of zi(k) for k=0,dimsizes(xi)-1.
If you do not desire to weight the input zi values, then set
wts to -1, and in that case wts can be a scalar.
The weights in the wts array are relative and
may be set to any non-negative value. When csa2lxs is called,
the weights are summed and the individual weights are normalized
so that the weight sum is unity.
- The number of knots to be used in constructing the approximating
values. knots(0) and knots(1) must both
be at least 4. The larger the value for knots,
the closer the approximated surface will come to passing through the
input function values.
- A parameter that controls extrapolation into data sparse regions.
If smth is zero, then nothing special is done in data sparse
regions. A good first choice for smth is 1.
- Specifies whether you want functional values (=0),
first derivative values (=1), or second derivative
values (=2) in each of the two coordinate directions.
- A one-dimensional array containing the X coordinates of a list
of points where functional values are desired. xo can
be a single point.
- A one-dimensional array containing the Y coordinates of a list
of points where functional values are desired. yo can
be a single point.
csa2lxs returns a one-dimensional array containing the
calculated functional values. The returned value has the same size
as xo and yo.
If zo is the returned value, then zo(i)
contains the functional value at coordinate
(xo(i),yo(i)) for i=0,dimsizes(xo)-1.
csa2lxs is in the
- a software package that
implements a cubic spline approximation algorithm to
fit a function to input data. The input for the approximation is
a set of randomly-spaced data. These data may be one-dimensional,
two-dimensional, or three-dimensional.
The general documentation for csagrid contains several
for entries in the csagrid package.
; Create the input arrays.
xmin = -1.4
xmax = 1.4
ymin = -1.2
ymax = 1.2
ndata = 500
xi = new(ndata,float)
yi = new(ndata,float)
zi = new(ndata,float)
xi(i) = xmin + (xmax-xmin)*rand()/32767.
yi(i) = ymin + (ymax-ymin)*rand()/32767.
zi(i) = xi(i) + yi(i)
t1 = 1.0/((fabs(xi(i)-0.1))^2.75 + fabs(yi(i))^2.75 + 0.09)
t2 = 1.0/((fabs(xi(i)+0.1))^2.75 + fabs(yi(i))^2.75 + 0.09)
zi(i) = 0.3*(zi(i)+t1-t2)
; Find an approximated value for the second order mixed partial at
; a single point.
knots = (/10,10/)
xo = 0.
yo = 0.
knots = 4
wts = -1.
smth = 0.
nderiv = (/1,1/)
zo = csa2lxs(xi,yi,zi,wts,knots,smth,nderiv,xo,yo)
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$Revision: 1.3 $ $Date: 1999/03/18 22:38:59 $