Download A Hierarchical Coordinate System for Geoprocessing and by Geoffrey H. Dutton PDF
By Geoffrey H. Dutton
While spatial facts is digitized to be used in geographic details structures and different software program, information regarding its unique scale, solution and accuracy is often misplaced. accordingly, utilizing such info at various scales and mixing it with info from different resources might be tough. Mapping vector info at smaller than the unique scale calls for its generalization, that is often dealt with by means of post-processing in ways in which are just weakly supported through databases. The types and techniques defined during this ebook conquer many such difficulties via offering a multi-resolution info 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)
Georeferencing a planimetric location requires a number of pieces of information: (a) the zone in which the location falls; (b) the latitude and longitude of the origin of the zone; (c) the projection type; (d) the parameters used to create the projection; and (e) the datum (ellipsoid model) used. Most national grids use projec- 20 2 Historical and Conceptual Background tions having inverses, enabling reconstruction of latitude and longitude from grid locations, with a (presumably) documented, relatively uniform accuracy.
With the marriage of aerospace and computer technology, the determination of location has become an advanced art, and serves human societies in many and diverse ways. Although many people who develop and use geographic information systems are quite unaware of it, reliance on latitude and longitude positions - - and projections of them - - has hampered the ability of their software to process and map locational data. Something is missing, something that would make it easier to deal with problems of scale, accuracy and data quality.
Use of our model to index global point data is summarized in appendix E. Chapter 3 concludes by illustrating how hierarchical methods can both ascertain and verify important aspects of positional data quality for cartographic data. Chapter 4 narrows the focus to map generalization, describing a feature-oriented data model and some hierarchical algorithms designed for characterizing and filtering cartographic detail. It starts with an overview of digital map generalization, providing a context for our own approach to line simplification.