Successful surface modeling requires, first of all, that an appropriate spatial framework be selected. The more diverse the surface modeling application, the more important this selection is. Of the four most obvious spatial frameworks—digital arrays, rectangular grids, parametric grids, and triangular meshes—triangular meshes seem to offer the most promise for many applications that involve both surface-fitting and the numerical solution of sets of equations. The use of triangular meshes is illustrated here in the context of a three-dimensional simulation of sediment build-up in a sedimentary basin. Triangle-based interpolation is first used to specify the initial conditions for the simulation, and then a triangle-based finite-difference technique gives the new sediment surface for successive steps in time.
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A collection of papers on computer-mapping case studies, this publication is a useful “go-by” for both beginners and advanced users of computer-mapping software. Fore the most part, the papers concentrate on the geologic features of significance to mapping, the methods used and their justification, and results obtained. The publication is separated into two parts. Part 1 consists of 12 papers dealing with data and surface modeling. Part 2 consists of 7 papers dealing with three-dimensional geologic block modeling.