Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Integrating Thematic, Geometric, and Topological Information in the Generalization of Road Networks

Bibliographic Data

ID14702012
AuthorsD Richardson (0000-0002-6255-2316), David M Richardson (0000-0001-9574-8297, corresponding author), R Thomson, R C Thomson (Lablogic Systems (United Kingdom))
Year1996
Volume33
Issue1
Pages1-9
Publication date1996-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/u504-4w34-0562-961w
OpenAlexW2091221940
LanguageEN
Citations received5
References cited12

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

Cartographic generalization · Cartography · Coding (social sciences · Context (archaeology · 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

  • Application of AHP to Road Selection

    Open Access•Han Yuan, Yuan Han et al.•ISPRS International Journal of…•2020

  • Make It Simple

    Open Access•Izabela Karsznia, Karolina Sielicka et al.•ISPRS International Journal of…•2022

  • A Method for Intelligent Road Network Selection Based on Graph Neural Network

    Open Access•Xuan Guo, Junnan Liu et al.•ISPRS International Journal of…•2023

  • Road network selection for medium scales using an extended stroke-mesh combination algorithm

    Stefan Benz, Robert Weibel•Cartography and Geographic…•2014

  • Automatic Processes in Database Building and Subsequent Automatic Abstractions

    D Richardson, David M Richardson•Cartographica The International…•1996

  • GIS and models of accessibility potential

    Stan Geertman, Stan C M Geertman et al.•International Journal of…•1995

  • Erosional Development of Streams and Their Drainage Basins; Hydrophysical Approach to Quantitative Morphology

    Robert E Horton, ROBERT HORTON•Geological Society of America…•1945

  • A note on two problems in connexion with graphs

    Open Access•E W Dijkstra, E Dijkstra•Numerische Mathematik•1959

  • Some Discrete Distributions for Graphs with Applications to Regional Transport Networks

    G A James, A D Cliff et al.•Geografiska Annaler Series B…•1970

Unique citing works5
Citations per year0,17
Citation span1996 - 2023 (28)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae