A Hierarchical Coordinate System for Geoprocessing and by Geoffrey H. Dutton

By Geoffrey H. Dutton

Whilst spatial facts is digitized to be used in geographic info platforms and different software program, information regarding its unique scale, solution and accuracy is usually misplaced. for this reason, utilizing such info at various scales and mixing it with info from different assets can be tricky. Mapping vector info at smaller than the unique scale calls for its generalization, that's often dealt with by means of post-processing in ways in which are just weakly supported by means of databases. The types and techniques defined during this booklet conquer many such difficulties by way of offering a multi-resolution facts illustration that enables retrieval of map info at a hierarchy of scales, in addition to documenting the accuracy of each spatial coordinate.

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Additional info for A Hierarchical Coordinate System for Geoprocessing and Cartography (Lecture Notes in Earth Sciences)

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Never implemented, GEM was intended to enable entry of point elevation data into its store from any source having horizontal coordinates expressed as latitudes and longitudes, integrating these observations into a global DEPTH hierarchy, encoded to a degree specified by a vertical and/or a horizontal error parameter. GEM is a more complex structure than QTM, being based both on an octahedron and on its polyhedral dual, a cube. The octahedron was aligned to the Earth's poles, and scaled to have a slightly larger circumsphere than the Earth.

To retrieve elevations across a region, elevations for its quadrants would need to be recursively evaluated (adding and subtracting the delta codes) by traversing the DEPTH pyramid to evaluate the polynomial for each leaf node at the desired level of detail. These elevations would then be assigned to the corresponding GEM vertices in the triangulation defining that level of detail. As GEM's triangulation is fixed and regular, these locations can be generated in parallel to their elevations; being implicit, they do not need to be recorded in a database.

In the QTM model, every node "attracts" the facets that touch it at a given level, hence all locations in that set of facets "belong" to that attractor, which may be used to spatially relate them. 28 2 Historical and Conceptual Background tory value; we have done this to explore essential details of hierarchical data handling that are critical to understand, regardless of the scope of one's spatial data and their application. 3 Prior, Related and Derived Work The quaternary triangular mesh geometric data model is derived from and marries a number of concepts, principally polyhedra and quadtrees.

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