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Toward Web Mapping with Vector Data

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Geographic Information Science (GIScience 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7478))

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Abstract

Improving the use of vector data in web mapping is often shown as an important challenge. Such shift from raster to vector web maps would open web mapping and GIS to new innovations and new practices. The main obstacle is a performance issue: Vector web maps in nowadays web mapping environments are usually too slow and not usable. Existing techniques for vector web mapping cannot solve alone the performance issue. This article describes a unified framework where some of these techniques are integrated in order to build efficient vector web mapping clients and servers. This framework is composed of the following elements: Specific formats for vector data and symbology, vector tiling, spatial index services, and generalization for multi-scale data. A prototype based on this framework has been implemented and has shown satisfying results. Some principles for future standards to support the development of vector web mapping are given.

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Author information

Authors and Affiliations

  1. European Commission - Joint Research Centre, Via Enrico Fermi 2749, 21027, Ispra, Italy

    Julien Gaffuri

Authors
  1. Julien Gaffuri
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Editor information

Editors and Affiliations

  1. Department of Geography, Ohio State University, 1036 Derby Hall, 154 N Oval Mall, 43210, Columbus, OH, USA

    Ningchuan Xiao

  2. Department of Geography, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA

    Mei-Po Kwan

  3. Department of Geography, University of California, 93106-4060, Santa Barbara, CA, USA

    Michael F. Goodchild

  4. Department of Computer Science, University of Minnesota, 55455, Minneapolis, MN, USA

    Shashi Shekhar

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Gaffuri, J. (2012). Toward Web Mapping with Vector Data. In: Xiao, N., Kwan, MP., Goodchild, M.F., Shekhar, S. (eds) Geographic Information Science. GIScience 2012. Lecture Notes in Computer Science, vol 7478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33024-7_7

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  • DOI: https://doi.org/10.1007/978-3-642-33024-7_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33023-0

  • Online ISBN: 978-3-642-33024-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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