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Geodata Discovery Assistant: A Software Module for Rule-Based Cartographic Visualisation and Analysis of Statistical Mass Data

  • Hartmut AscheEmail author
  • Carolin KucharczykEmail author
  • Marion SimonEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9157)

Abstract

This paper presents a novel software approach termed “Geodata Discovery Assistant” (GDA) to visualise and visually analyse heterogenous statistical mass data with a spatial component. Only recently the potential of digital geospatial information has been recognised in large to small scale enterprises. This is partly caused by the fact that software systems used in the industry to model and process economic or business information lack functions to handle the geospatial attributes properly. The GDA is currently developed in an ongoing R&D project between commercial and academic partners. When fully implemented, the GDA will contribute to the full utilisation of statistical mass data with a spatial component thus facilitating meaningful and informed decision making for users of classical data discovery or business intelligence and analysis systems. In this contribution, we focus on its core component, the rule-based map construction process.

Keywords

Geovisualisation Quality maps Rule-based map construction Map construction assistant Business intelligence systems Data discovery systems 

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References

  1. 1.
    Asche, H., Stankute, S., Mueller, M., Pietruska, F.: Towards developing an integrated quality map production environment in commercial cartography. In: Murgante, B., Misra, S., Carlini, M., Torre, C.M., Nguyen, H.-Q., Taniar, D., Apduhan, B.O., Gervasi, O. (eds.) ICCSA 2013, Part IV. LNCS, vol. 7974, pp. 221–237. Springer, Heidelberg (2013)Google Scholar
  2. 2.
    Bёrxholi, A., Doka, D. Asche, H. (Eds.): Atlas of Albania. Demographic Atlas of Albania. Akademia e Shkencave, Tiranё. Distribution of Settlements 2001, p. 33 (2003)Google Scholar
  3. 3.
    Dent, B.D.: Cartography. Thematic Map Design, 6th edn. McGraw-Hill, Boston (2008)Google Scholar
  4. 4.
    INSTAT (Ed.): Albania Census Atlas 2001, Population and Housing Census, Research Publication. ISBN 99927-840-1-6, Population distribution, p. 11 (2004)Google Scholar
  5. 5.
    Maling, D.H.: Coordinate Systems and Map Projections. Pergamon Press, Oxford (1992)Google Scholar
  6. 6.
    Monmonier, M., Johnson, B.B.: Using qualitative data gathering techniques to improve the design of environmental maps. In: Rybaczuk, K., Blakemore, M. (eds.) Mapping the Nations, London, vol. 1, pp. 364–373 (1991)Google Scholar
  7. 7.
    Perkins, B.: Have you mapped your data today? Computer World (2010). http://computerworld.com/s/article/350588/Have_You_Mapped_Your_Data_Today (access March 2014)
  8. 8.
    Robinson, A., Morrison, J.L., Muehrcke, P.C., Kimerling, A.J., Guptill, S.C.: Elements of cartography. Wiley, New York (1995)Google Scholar
  9. 9.
    Slocum, T.A., McMaster, R.B., Kessler, F.C., Howard, H.H.: Thematic Cartography and Geovisualization. Pearson Prentice Hall, Upper Saddle River (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Geoinformation Research Group, Department of GeographyUniversity of PotsdamPotsdamGermany

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