When spatial data is digitized for use in geographic information systems and other software, information about its original scale, resolution and accuracy is frequently lost. As a result, using such information at different scales and combining it with data from other sources may be difficult. Mapping vector data at smaller than the original scale requires its generalization, which is usually handled by post-processing in ways that are only weakly supported by databases. The models and methods described in this book overcome many such problems by providing a multi-resolution data representation that allows retrieval of map data at a hierarchy of scales, as well as documenting the accuracy of every spatial coordinate.
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and problem statement.- Historical and conceptual background.- Computational aspects of a quaternary triangular mesh.- Using QTM to support map generalization.- QTM scale filtering: Tests and evaluations.- New approaches to cartographic questions.
Book by Dutton Geoffrey H
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Paperback. Condizione: new. Paperback. When spatial data is digitized for use in geographic information systems and other software, information about its original scale, resolution and accuracy is frequently lost. As a result, using such information at different scales and combining it with data from other sources may be difficult. Mapping vector data at smaller than the original scale requires its generalization, which is usually handled by post-processing in ways that are only weakly supported by databases. The models and methods described in this book overcome many such problems by providing a multi-resolution data representation that allows retrieval of map data at a hierarchy of scales, as well as documenting the accuracy of every spatial coordinate. When spatial data is digitized for use in geographic information systems and other software, information about its original scale, resolution and accuracy is frequently lost. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783540649809
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When spatial data is digitized for use in geographic information systems and other software, information about its original scale, resolution and accuracy is frequently lost. As a result, using such information at different scales and combining it with data from other sources may be difficult. Mapping vector data at smaller than the original scale requires its generalization, which is usually handled by post-processing in ways that are only weakly supported by databases. The models and methods described in this book overcome many such problems by providing a multi-resolution data representation that allows retrieval of map data at a hierarchy of scales, as well as documenting the accuracy of every spatial coordinate. 248 pp. Englisch. Codice articolo 9783540649809
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