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for finite-dimensional vectors a and matrix L using the usual summation
over two equal indices, and N i = L i g P
leading to
cov( N P ,N Q )= L i L j
cov(∆ g P , g Q ) ,
(10-27)
where N i denotes the geoidal height at point i and ∆ g is the gravity anomaly
at point P ,and L denotes the Stokes formula. Explicit expressions are found
in Moritz (1980 a: Sect. 15).
In this statistical interpretation, we take the kernel function K ( P, Q )
as the covariance function C ( P, Q ). Then f ( P ) is an optimal estimate (in
the sense of least variance) for the anomalous potential T and hence for
the height anomaly ζ = T/γ , on the basis of arbitrary measurement data.
For geoid determination in mountainous areas, relevant terrestrial measure-
ment data primarily are ξ, η ,and∆ g . The covariances C ik and C Pi are
given by known analytical expressions, see Tscherning and Rapp (1974) or
Moritz (1980 a: Sect. 15). A general computer program for collocation is
described in Sunkel (1980).
Least-squares collocation may easily be generalized to observational data
affected by random errors; systematic effects may also be taken into consid-
eration. In addition to the estimated quantities ( f in our present case) we
may also compute their standard error by a formula similar to (10-24). A
comprehensive presentation of a least-squares collocation may be found in
Moritz (1980 a). You cannot learn collocation from this slight chapter only!
Harmonicity of the covariance functions.
In three-dimensional space, the covariance functions, being kernel functions
and their linear functional transformations L , are always harmonic. If we
have (9-25),
C ( ψ )=
c n P n (cos ψ )
(10-28)
n =2
on the sphere, then in space there will be
R 2
rr
n +2
C ( r, r )=
c n
P n (cos ψ )
(10-29)
n =2
(Moritz 1980 a: Sect. 23, Eq. (32-1)). The point P ( r, θ, λ ) is the computation
point, and Q ( r ) is a current data point; ψ is the spherical distance
between ( θ, λ )and( θ ), and R is the mean radius of the earth. The de-
pendence on r is given by the factor
r ( n +2)
(10-30)
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