By Geoffrey H. Dutton
Whilst spatial info is digitized to be used in geographic details platforms and different software program, information regarding its unique scale, answer and accuracy is often misplaced. consequently, utilizing such details at varied scales and mixing it with facts from different resources can be tough. Mapping vector facts at smaller than the unique scale calls for its generalization, that's often dealt with by way of post-processing in ways in which are just weakly supported through databases. The versions and strategies defined during this e-book triumph over many such difficulties through offering a multi-resolution info 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 info for A Hierarchical Coordinate System for Geoprocessing and Cartography (Lecture Notes in Earth Sciences)
Hexahedral world projection, vertices at poles (Snyder 1992: 17) The best known polyhedral projection today is probably R. Buckminster Fuller's Dymaxion map, dating from the early 1940's (Unknown, 1943). As described in that Life Magazine article, the Dymaxion map was first based on a cubeoctahedron. A few years later Fuller recast it as an icosahedron, oriented to the earth in a way that placed all 12 of its vertices in the oceans and minimized the 30 2 Historical and Conceptual Background division of land areas between its 20 facets.
5 Prior, Related and Derived Work 37 Derivative Models and Applications An early implementation of QTM was done by Goodchild and Shiren (1992) in a hierarchical spatial data structure (HSDS) project undertaken at the National Center for Geographic Information and Analysis (NCGIA) site at the University of California at Santa Barbara (UCSB). HSDS used a different and simpler facet addressing scheme than QTM. Like QTM, the addressing method placed quadrant 0 in the center of each set of children, but unlike QTM the locations of the 1- 2- and 3-quadrants did not permute; 1-codes always identified "top" or "bottom" quadrants, 2-codes always identified "left" quadrants, and 3-codes identified "right" quadrants.
GEM's high degree of data compression was based on the implicit ordering of facets in complete sub-hierarchies; the bits in a GEM archive indicated changes in elevation by their values, and identified facets by their ordering, as do elevation grids, only pyramidally. 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.