Skip to main content

Space-Time Mapping of Mass Event Data

  • Chapter
  • First Online:
  • 2049 Accesses

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

Abstract

In conventional thematic cartography the visualisation techniques to symbolise spatio-temporal phenomena are limited. On a two dimensional map temporal changes can only be visualised adequately as time series or by animation. To simultaneously visualise thematic data in space and time a third dimension must be added. In this work conventional cartographic symbolization meets the space-time cube to create a holistic 3D spatio-temporal visualisation model. The two dimensional proportional symbol mapping technique is adopted and extruded into the third dimension to model the temporal factor. Kernel density estimation is performed on the time line to create a temporal continuous model from discrete points in time. The resulting visualisation model is implemented into an earth viewer to enable the user to freely navigate the phenomenon and visually detect anomalies without losing the overall view. This tool is evaluated by visualizing the events of a mobile phone location dataset over space and time in one single model.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ahas R, Silm S et al (2010) Using mobile positioning data to model locations meaningful to users of mobile phones. J urban technol 17:25

    Article  Google Scholar 

  • Aigner W, Miksch S et al (2007) Visualizing time-oriented data: a systematic view. Comput Graphics 31(3):17

    Article  Google Scholar 

  • Andrienko N, Andrienko G (2006) Exploratory analysis of spatial and temporal data: a systematic approach. Springer, Berlin

    Google Scholar 

  • Bertin J (1967/1984) Semiology of graphics: diagrams, networks, maps. University of Wisconsin Press, Madison

    Google Scholar 

  • Forlines C, Wittenburg K (2010) Wakame: sense making of multi-dimensional spatial-temporal data. International conference on advanced visual interfaces, ACM Press, Roma

    Google Scholar 

  • Green M (1998) Toward a perceptual science of multidimensional data visualization: bertin and beyond. http://graphics.stanford.edu/courses/cs448b-06-winter/papers/Green_Towards.pdf, Retrieved Access 6 May 2011

  • Hägerstrand T (1970) What about People in Regional Science? Pap Reg Sci Assoc 24:15

    Article  Google Scholar 

  • Haggett P (1990) The Geographer‘s Art. Blackwell, Massachusetts

    Google Scholar 

  • Keim D, Kohlhammer J et al (eds) (2010) Mastering the information age—solving problems with visual analytics. Druckhaus “Thomas Müntzer” GmbH, Bad Langensalza, Eurographics Association

    Google Scholar 

  • Müller W, Schumann H (2003) Visualization methods for time-dependent data: an overview. In: Simulation Conference 2003. Proceedings of the 2003 Winter

    Google Scholar 

  • Norman JF, Todd JT et al (1995) The perception of surface orientation from multiple sources of optical information. Percept Psychophys 57(5):8

    Google Scholar 

  • O′Sullivan D, Unwin DJ (2003) Geographic Information Analysis. Wiley, Hoboken

    Google Scholar 

  • Scott DW (1992) Multivariate density estimation: theory, practice, and visualization. Wiley, Canada

    Book  Google Scholar 

  • Thakur S, Rhyne TM (2009) Data vases: 2D and 3D plots for visualizing multiple time series. In: 5th international symposium on advances in visual computing: part II Las Vegas, Springer, Berlin

    Google Scholar 

  • Thomas JJ, Cook KA eds (2005) Illuminating the path: the research and development agenda for visual analytics, IEEE

    Google Scholar 

  • Tominski C, Schulze-Wollgast P et al (2005) 3D Information visualization for time dependent data on maps. In: 9th international conference on information visualisation, London, UK

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christian E. Murphy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Murphy, C.E. (2013). Space-Time Mapping of Mass Event Data. In: Krisp, J. (eds) Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34203-5_3

Download citation

Publish with us

Policies and ethics