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Selection of street...
Selection of streets from a network using self-organizing maps
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- Jiang, Bin (författare)
- Högskolan i Gävle,Ämnesavdelningen för samhällsbyggnad
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Harrie, Lars (författare)
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(creator_code:org_t)
- Wiley, 2004
- 2004
- Engelska.
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Ingår i: Transactions on GIS. - : Wiley. - 1361-1682 .- 1467-9671. ; 8:3, s. 335-350
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We propose a novel approach to selection of important streets from a network, based on the technique of a self-organizing map (SOM), an artificial neural network algorithm for data clustering and visualization. Using the SOM training process, the approach derives a set of neurons by considering multiple attributes including topological, geometric and semantic properties of streets. The set of neurons constitutes a SOM, with which each neuron corresponds to a set of streets with similar properties. Our approach creates an exploratory linkage between the SOM and a street network, thus providing a visual tool to cluster streets interactively. The approach is validated with a case study applied to the street network in Munich, Germany.
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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