By Geoffrey H. Dutton
Whilst spatial info is digitized to be used in geographic details structures and different software program, information regarding its unique scale, solution and accuracy is usually misplaced. for that reason, utilizing such info at diverse scales and mixing it with info from different assets can be tricky. Mapping vector facts at smaller than the unique scale calls for its generalization, that's often dealt with via post-processing in ways in which are just weakly supported by means of databases. The versions and strategies defined during this publication conquer many such difficulties via offering a multi-resolution information illustration that enables retrieval of map facts at a hierarchy of scales, in addition to documenting the accuracy of each spatial coordinate.
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Extra resources for A Hierarchical Coordinate System for Geoprocessing and Cartography (Lecture Notes in Earth Sciences)
It would have required extremely effective storage management in order to partition sub-trees into pages and access them in an orderly way. Dutton (1984) also claimed that to some extent, a GEM archive could monitor and enforce its own data quality, by rejecting input points whose elevations did not match the coding for (more precise) elevation points already 36 2 Historical and Conceptual Background DEPTH encoded nearby. This assertion presumed that the aliasing problems found in the gridded version of DEPTH modeling could be overcome in GEM.
Quaternary Triangular Mesh to Three Levels of Detail In place of latitudes, longitudes and metadata, we propose a notation for location that documents its own precision, one which can model spatial and scale relationships as well as denoting positions. Data in this form can be derived from coordinates plus scale or accuracy information, and is thus compatible with exist- 24 2 Historical and Conceptual Background ing digital georeferenced data. e. at specific scales or resolutions. Locations neighboring a given one can be directly identified at any resolution.
Tao Te Ching As we have seen, there is more than one way to model planets as polyhedra and more than one way to carve up any of these. In general, the models under discussion here start with a platonic solid. Besides octahedra (having 8 facets), we have seen examples of dodecahedra (12), icosahedra (20) and truncated icosahedra (32, itself a polyhedral subdivision). 4 illustrates have been proposed but will not be dealt with here. To our knowledge, no one has suggested using the simplest polyhedron - - a tetrahedron (4 facets) - - as the basis for a global spatial data model.
A Hierarchical Coordinate System for Geoprocessing and Cartography (Lecture Notes in Earth Sciences) by Geoffrey H. Dutton