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Designing a Semi-automatic Map Construction Process for the Effective Visualisation of Business Geodata

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12252))

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Abstract

This paper proposes a map construction process for the semi-automatic construction of thematic maps from business information data. Addressing a non-specialist user audience, the map construction process will allow a correct, at the same time effective cartographic visualisation for further (geo)visual analysis. Utilising the frequently disregarded geospatial component of existing business mass data, quality map representations facilitate the visual exploration, detection, and analysis of relevant spatial data distributions and structures hitherto unseen in the data. Presently, neither operational procedures nor appropriate software systems, such as BIS, DDS or GIS, are available in the industry for an effective map representation of the geocoded data. To put economic and business experts into a position to make full use of the geo coordinates present in the data, an easy-to-handle map construction process is required to exploit the full semantic and spatial potential of business data. Exemplified for an area diagram map, the map construction process discussed here provides the relevant tools and methods for the targeted audience.

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References

  1. Perkins (2010). http://computerworld.com/article/2549741/have-you-mapped-your-data-today-.html. Accessed 15 Mar 2020

  2. Kraak, M.J., Ormeling, F.J.: Cartography. Visualization of Spatial Data. Addison Wesley Longman Ltd., Harlow (1996)

    Google Scholar 

  3. Fornefeld, M., Oefinger, P., Rausch, U.: Der Markt für Geoinformationen: Potentiale für Beschäftigung, Innovation und Wertschöpfung. Kurzfassung. Studie. MICUS-Management Consultig GmbH, Düsseldorf (2003)

    Google Scholar 

  4. Asche, H., Herrmann, C.: Desktop Mapping in der thematischen Kartographie. Stand der Technik und Marktübersicht. In: Deutsche Gesellschaft für Kartographie (DGfK) (edt.): Kartograpisches Taschenbuch 1994/95, 4th edn. Kirschbaum, Bonn (1994)

    Google Scholar 

  5. Mackinlay, J.: Automating the design of graphical presentations of relational information. ACM Trans. Graph. 5, 110–141 (1986)

    Article  Google Scholar 

  6. Haber, R.B., McNabb, D.A.: Visualization idioms: a conceptual model for scientific visualisation systems. In: Shriver, B., Nielsen, G.M., Rosenblum, M. (eds.) Visualization in Scientific Computing, Los Alamitos (1990)

    Google Scholar 

  7. Slocum, T.A., McMaster, R.B., Kessler, F.C., Howard, H.H.: Thematic cartography and geovisualization. In: Series in Geographic Information Science, 3rd edn. Prentice-Hall, Upper Saddle River, NJ. (2009)

    Google Scholar 

  8. Technische Universität (TU) Dortmund: jABC Link (2020). http://ls5-www.cs.tu-dortmund.de/projects/jabc/index.php. Accessed 13 May 2020

  9. Harrower, M., Brewer, C.: ColorBrewer.org: an online tool for selecting color schemes for maps. Cartographic J. 40(1), 27–37 (2003)

    Article  Google Scholar 

  10. Bollmann, J., Koch, W.G. (eds.): Lexikon der Kartographie und Geomatik, vol. 1. Spektrum Akademischer Verlag, Heidelberg (2001)

    Google Scholar 

  11. Bollmann, J., Koch, W.G. (eds.): Lexikon der Kartographie und Geomatik, vol. 2. Spektrum Akademischer Verlag, Heidelberg (2002)

    Google Scholar 

  12. Hake, G.: Grünreich, D., Meng, L.: Kartographie. Visualisierung raum-zeitlicher Informationen, 8th edn. Walter de Gruyter & Co., Berlin, New York (2002)

    Google Scholar 

  13. Arnberger, E.: Thematische Kartographie. Westermann, Braunschweig (1997)

    Google Scholar 

  14. Witt, W.: Thematische Kartographie. Methoden und Probleme, Tendenzen und Aufgaben, 2nd edn. Gebr. Jänecke, Hannover (1970)

    Google Scholar 

  15. Kucharczyk, C.: Konzeption, Entwicklung und Implementierung eines regelbasierten Kartenkonstruktionsassistenten zur fachgerechten Visualisierung statistischer Massendaten. Masterthesis (2013). Unpublished

    Google Scholar 

  16. Simon, M., Asche, H.: Automated spatial data processing and refining. In: Lamprecht, A.-L. (ed.) ISoLA 2012/2014. CCIS, vol. 683, pp. 38–49. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-51641-7_3

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Geosciences, University of Potsdam, Potsdam, Germany

    Marion Simon

  2. Computer Graphics System Group, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany

    Hartmut Asche

Authors
  1. Marion Simon
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  2. Hartmut Asche
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Corresponding authors

Correspondence to Marion Simon or Hartmut Asche .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Simon, M., Asche, H. (2020). Designing a Semi-automatic Map Construction Process for the Effective Visualisation of Business Geodata. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12252. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_32

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  • DOI: https://doi.org/10.1007/978-3-030-58811-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58810-6

  • Online ISBN: 978-3-030-58811-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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