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The subject of geomathematics focuses on the interpretation and
classification of data from geoscientific and satellite sources,
reducing information to a comprehensible form and allowing the
testing of concepts. Sphere oriented mathematics plays an important
part in this study and this book provides the necessary foundation
for graduate students and researchers interested in any of the
diverse topics of constructive approximation in this area. This
book bridges the existing gap between monographs on special
functions of mathematical physics and constructive approximation in
Euclidean spaces. The primary objective is to provide readers with
an understanding of aspects of approximation by spherical
harmonics, such as spherical splines and wavelets, as well as
indicating future directions of research. Scalar, vectorial, and
tensorial methods are each considered in turn. The concentration on
spherical splines and wavelets allows a double simplification; not
only is the number of independent variables reduced resulting in a
lower dimensional problem, but also radial basis function
techniques become applicable. When applied to geomathematics this
leads to new structures and methods by which sophisticated
measurements and observations can be handled more efficiently, thus
reducing time and costs.
Based on the IV Hotine-Marussi Symposium held in Trento, the volume covers three important topics: boundary value problems, satellite geodesy and stochastic methods in geodesy. The first part deals with boundary value problems which are tackled from both the theoretical and the numerical point of view. The part on satellite geodesy deals with the simulation of the GOCE mission, the integration of satellite gradiometry and airborne gravity for gravity-filed recovery, satellite-to-satellite tracking and orbit sensitivity analysis. Various applied and theoretical contributions are devoted to the stochastic methods applied to geodesy. The book presents the state-of-the-art of the main topics in the theoretical and methodological aspects of geodesy.
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