Cutting the Gordian knot of visualizing dense spatial networks: the case of the world city network, 2013.

Networks have become ubiquitous in the analysis of socioeconomic patterns. Importantly, most of these networks have an inherent geographical dimension, and are therefore a relevant object for geographical research and related thinking on cartographic mapping and visualization. The visualization of s...

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Publicado en:Environment & Planning A Vol. 47; no. 6; pp. 1332 - 1341
Autores principales: Hennemann, Stefan, Derudder, Ben, Taylor, Peter J.
Formato: Artículo
Publicado: Sage Publications Inc. Jun2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Cutting the Gordian knot of visualizing dense spatial networks: the case of the world city network, 2013.
      aug:
        au:
          Hennemann, Stefan
          Derudder, Ben
          Taylor, Peter J.
        affil:
          Institute of Economic and Cultural Geography, Leibniz University Hannover, Schneiderberg 50, D-30167 Hannover, Germany
          Department of Geography, Ghent University, Krijgslaan 281/S8, B-9000 Gent, Belgium
          Department of Geography, Northumbria University, 2 Ellison Place, Newcastle upon Tyne NE18ST, England
      su:
        Urban research
        Cartography
        Maps
        Visualization
        Geospatial data
      sug:
        subj:
          Urban research
          Geophysical Surveying and Mapping Services
          Book, Periodical, and Newspaper Merchant Wholesalers
          Other printing
          Cartography
          Maps
          Visualization
          Geospatial data
      keyword:
        edge bundling
        spatial networks
        world city network
        edge bundling
        spatial networks
        world city network
      ab: Networks have become ubiquitous in the analysis of socioeconomic patterns. Importantly, most of these networks have an inherent geographical dimension, and are therefore a relevant object for geographical research and related thinking on cartographic mapping and visualization. The visualization of spatial networks is, however, still in its infancy. In this paper, we present and discuss some of the typical issues associated with the visualization of spatial networks, as well as the emerging possibilities to tackle these issues. In particular, we focus on a state-of-the-art graph layout algorithm that uses edge bundling on network layers in conventional maps. We use the example of the geographies of the world city network in 2013 as researched by the Globalization and World Cities network (GaWC).
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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