Map Construction Algorithms

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The book provides an overview of the state-of-the-art of map construction algorithms, which use tracking data in the form of trajectories to generate vector maps. The most common trajectory type is GPS-based trajectories. It introduces three emerging algorithmic categories, outlines their general algorithmic ideas, and discusses three representative algorithms in greater detail.

To quantify map construction algorithms, the authors include specific datasets and evaluation measures. The datasets, source code of map construction algorithms and evaluation measures are publicly available on http://www.mapconstruction.org. The web site serves as a repository for map construction data and algorithms and researchers can contribute by uploading their own code and benchmark data.

    • Map Construction Algorithms is an excellent resource for professionals working in computational geometry, spatial databases, and GIS. Advanced-level students studying computer science, geography and mathematics will also find this book a useful tool.

    Introduces researchers to map construction algorithms Provides the reader with a simple means to experiment with map construction software Offers a companion website that will be continuously updated with new research results

    Inhalt
    Map Construction Algorithms.- Trace Bundle Map Construction Algorithm.- Fréchet Distance-Based Map Construction Algorithm.- Density-Based Map Construction Pipeline.- Datasets.- Quality Measures for Map Comparison.- Evaluation.- New Directions.- Resources.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319797434
    • Sprache Englisch
    • Auflage Softcover reprint of the original 1st edition 2015
    • Größe H235mm x B155mm x T8mm
    • Jahr 2019
    • EAN 9783319797434
    • Format Kartonierter Einband
    • ISBN 3319797433
    • Veröffentlichung 14.03.2019
    • Titel Map Construction Algorithms
    • Autor Mahmuda Ahmed , Carola Wenk , Dieter Pfoser , Sophia Karagiorgou
    • Gewicht 219g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 136
    • Lesemotiv Verstehen
    • Genre Informatik

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