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A hierarchical coordinate system for geoprocessing and cartography [Libro electrónico] / autor: Geoffrey H. Dutton

Por: Dutton, Geoffrey H [autor/a].
Tipo de material: Libro en línea Libro en línea Series Editor: New York, New York, United States: Springer, c1999Descripción: xviii, 230 páginas : ilustraciones mapas ; 24 centímetros.ISBN: 3540649808; 9783540649809 (Print); 9783540498025 (Online).Tema(s): Geographic information systems -- Mathematical models | Cartography -- Mathematical modelsNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 221-228 Número de sistema: 55817Contenidos:Mostrar Resumen:
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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.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-540-64980-9
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Incluye bibliografía e índice: páginas 221-228

1. Introduction and problem statement.. 2. Historical and conceptual background.. 3. Computational aspects of a quaternary triangular mesh.. 4. Using QTM to support map generalization.. 5. QTM scale filtering: Tests and evaluations.. 6. New approaches to cartographic questions.. Index

Disponible para usuarios de ECOSUR con su clave de acceso

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. eng

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