Integrating Thematic, Geometric, and Topological Information in the Generalization of Road Networks
Datos Bibliográficos
| ID | 14701142 |
|---|---|
| Autores | D Richardson (0000-0002-6255-2316, Canada Centre for Remote Sensing, Ottawa / Canada), David M Richardson (0000-0001-9574-8297, Center For Remote Sensing (United States), autor de correspondencia), R Thomson (Prologic Systems Limited, Ottawa / Ontario), R C Thomson (Lablogic Systems (United Kingdom)) |
| Año | 1996 |
| Volumen | 33 |
| Número | 1 |
| Páginas | 75-83 |
| Fecha de publicación | 1996-04-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Identificadores de la revista | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Editorial | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/f150-7678-5q15-8n06 |
| OpenAlex | W4248851175 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 9 |
A technique is presented for determining and quantifying the functional importance of road segments in a road network, according to a set of source/destination ["source and destination"?] points that reflect the user's context. This technique is an important element in a scheme for the automatic structuring, classification, and coding of unstructured road data — necessary steps in creating a database to support contextually sensitive generalization. The quantification technique employs graph-theoretic methods, and includes the integration of thematic, geometric, and topological information. In the generalization methods, two aspects of data integration are addressed • the integration of spatial and thematic data in establishing input-cost data and consequences of data uncertainty and error, and • the design of a suitable data model to support the analysis
Cartographic generalization · Cartography · Coding (social sciences · Context (archaeology · Data integration · Data mining · Generalization · Geography · Graph · Set (abstract data type · Structuring · Thematic map · Topology (electrical circuits · Automated Road and Building Extraction · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Mathematics · Theoretical Computer Science
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 0,17 |
| Intervalo de citas | 2014 - 2020 (7) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |