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Supporting the Analysis of Inner Areas of a Territory

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12936))

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Abstract

This paper addresses the problem of supporting public decision makers in the data analysis of the territory they are responsible for. Most of the Italian territory consists of the so-called inner areas, which are primarily rural areas usually far from main centers that provide education, health and mobility services. A project that analyzes inner areas is reported; it has two main objectives. A first one is to identify proper clusters of such areas so that smaller areas can be grouped together in order to share important services in the best and more economic way; different algorithms are used to identify relevant parameters and to cluster inner areas. The second objective is to create proper visualizations of data of such inner areas, in order to better support decision makers in understanding the data and taking more informed decisions. It is remarked that using visualization techniques without adequate knowledge of their possibilities greatly limits the support that analysts may get from them.

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Notes

  1. 1.

    https://www.elastic.co/kibana, last visited: July 2021.

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Acknowledgments

The authors thank Andrea De Matteis for his contribution in the implementation of the dashboards.

Author information

Authors and Affiliations

  1. IVU Lab, Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Paolo Buono, Maria Francesca Costabile & Antonio Piccinno

  2. Links Management and Technology S.p.A., Lecce, Italy

    Palmalisa Marra, Valentino Moretto & Luca Tedesco

Authors
  1. Paolo Buono
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  2. Maria Francesca Costabile
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  3. Palmalisa Marra
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  4. Valentino Moretto
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  5. Antonio Piccinno
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  6. Luca Tedesco
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Corresponding author

Correspondence to Paolo Buono .

Editor information

Editors and Affiliations

  1. Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

  2. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  3. Computer Science Department, University of Pisa, Pisa, Italy

    Alessio Malizia

  4. Department of Computer Science, University of York, York, UK

    Helen Petrie

  5. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  6. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Desolda

  7. Microsoft Research, Redmond, WA, USA

    Kori Inkpen

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Buono, P., Costabile, M.F., Marra, P., Moretto, V., Piccinno, A., Tedesco, L. (2021). Supporting the Analysis of Inner Areas of a Territory. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_23

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  • DOI: https://doi.org/10.1007/978-3-030-85607-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85606-9

  • Online ISBN: 978-3-030-85607-6

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