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Depiction of Multivariate Data Through Flow Maps

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Service-Oriented Mapping

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Flow maps are graphical representations that depict the movement of a geospatial phenomenon, e.g. migration and trade flows, from one location to another. These maps depict univariate spatial origin-destination datasets, with flows represented as lines and quantified by their width. One main feature of these maps is the aggregation of flows that share the same origin. Thus, visual clutter is reduced and the readability improved. This chapter describes a novel technique that extends flow maps to visualize multivariate geographical data. Instead of a univariate color scheme, we interpolate strategic color schemes to communicate multivariate quantitative information. Additionally, our approach crystallizes on augmenting flows with pie charts. To evaluate the relevance and impact of our approach, three case studies are presented.

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Author information

Authors and Affiliations

  1. Fondazione Bruno Kessler, Trento, Italy

    Alberto Debiasi

  2. Fondazione GraphiTech, Trento, Italy

    Bruno Simões & Raffaele De Amicis

Authors
  1. Alberto Debiasi
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  2. Bruno Simões
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  3. Raffaele De Amicis
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Corresponding author

Correspondence to Alberto Debiasi .

Editor information

Editors and Affiliations

  1. Computer Graphics Systems, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany

    Jürgen Döllner

  2. Research Group Cartography, Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

    Markus Jobst

  3. CSIR Built Environment , Pretoria, South Africa

    Peter Schmitz

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Debiasi, A., Simões, B., De Amicis, R. (2019). Depiction of Multivariate Data Through Flow Maps. In: Döllner, J., Jobst, M., Schmitz, P. (eds) Service-Oriented Mapping. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-72434-8_6

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