Skip to main content

2014 | OriginalPaper | Buchkapitel

Visualization of Trajectory Attributes in Space–Time Cube and Trajectory Wall

verfasst von : Gennady Andrienko, Natalia Andrienko, Heidrun Schumann, Christian Tominski

Erschienen in: Cartography from Pole to Pole

Verlag: Springer Berlin Heidelberg

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Space–time cube is often used as a visualization technique representing trajectories of moving objects in (geographic) space and time by three display dimensions (Hägerstrand 1970). Despite the recent advances allowing space–time cube visualization of clusters of trajectories, it is problematic to represent trajectory attributes. We propose a new time transformation—sequential ordering—that transforms the space–time cube into a new display, trajectory wall, which allows effective and efficient visualization of trajectory attributes for trajectories following similar routes. To enable temporal analysis regarding temporal cycles, we use a time lens technique for interactive visualization. We demonstrate the work of the method on a real data set with trajectories of cars in a big city.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Andrienko N, Andrienko G (2006) Exploratory analysis of spatial and temporal data. A systematic approach. Springer, Berlin Andrienko N, Andrienko G (2006) Exploratory analysis of spatial and temporal data. A systematic approach. Springer, Berlin
Zurück zum Zitat Andrienko N, Andrienko G (2013) Visual analytics of movement: an overview of methods, tools, and procedures. Inf Vis 12(1):3–24CrossRef Andrienko N, Andrienko G (2013) Visual analytics of movement: an overview of methods, tools, and procedures. Inf Vis 12(1):3–24CrossRef
Zurück zum Zitat Andrienko N, Andrienko G, Gatalsky P (2003). Visual data exploration using space–time cube. In: Proceedings of the 21st international cartographic conference, International Cartographic Association, Durban, 10–16 Aug 2003, pp 1981–1983 Andrienko N, Andrienko G, Gatalsky P (2003). Visual data exploration using space–time cube. In: Proceedings of the 21st international cartographic conference, International Cartographic Association, Durban, 10–16 Aug 2003, pp 1981–1983
Zurück zum Zitat Andrienko G, Andrienko N, Wrobel S (2007) Visual analytics tools for analysis of movement data. ACM SIGKDD Explor 9(2):38–46CrossRef Andrienko G, Andrienko N, Wrobel S (2007) Visual analytics tools for analysis of movement data. ACM SIGKDD Explor 9(2):38–46CrossRef
Zurück zum Zitat Andrienko G, Andrienko N (2010) Dynamic Time Transformation for Interpreting Clusters of Trajectories with Space-Time Cube. IEEE Visual Analytics Science and Technology (VAST 2010) Proceedings, IEEE Computer Society Press, pp 213–214 Andrienko G, Andrienko N (2010) Dynamic Time Transformation for Interpreting Clusters of Trajectories with Space-Time Cube. IEEE Visual Analytics Science and Technology (VAST 2010) Proceedings, IEEE Computer Society Press, pp 213–214
Zurück zum Zitat Andrienko G, Andrienko N (2011) Dynamic Time Transformations for Visualizing Multiple Trajectories in Interactive Space-Time Cube. International Cartographic Conference (ICC 2011) Proceedings Andrienko G, Andrienko N (2011) Dynamic Time Transformations for Visualizing Multiple Trajectories in Interactive Space-Time Cube. International Cartographic Conference (ICC 2011) Proceedings
Zurück zum Zitat Andrienko G, Andrienko N, Bak P, Keim D, Wrobel S (2013) Visual analytics of movement. Springer, Heidelberg Andrienko G, Andrienko N, Bak P, Keim D, Wrobel S (2013) Visual analytics of movement. Springer, Heidelberg
Zurück zum Zitat Hägerstrand T (1970) What about people in regional science? Paper Reg Sci Assoc 24:7–21CrossRef Hägerstrand T (1970) What about people in regional science? Paper Reg Sci Assoc 24:7–21CrossRef
Zurück zum Zitat Harrower M, Brewer CA (2003) Colorbrewer.org: an online tool for selecting colour schemes for maps. Cartogr J 40(1):27–37CrossRef Harrower M, Brewer CA (2003) Colorbrewer.org: an online tool for selecting colour schemes for maps. Cartogr J 40(1):27–37CrossRef
Zurück zum Zitat Kapler T, Wright W (2005) GeoTime information visualization. Inf Vis 4(2):136–146CrossRef Kapler T, Wright W (2005) GeoTime information visualization. Inf Vis 4(2):136–146CrossRef
Zurück zum Zitat Kraak M-J (2003) The space–time cube revisited from a geovisualization perspective. In: Proceedings of the 21st international cartographic conference, International Cartographic Association, Durban, 10–16 Aug 2003, pp 1988–1995 Kraak M-J (2003) The space–time cube revisited from a geovisualization perspective. In: Proceedings of the 21st international cartographic conference, International Cartographic Association, Durban, 10–16 Aug 2003, pp 1988–1995
Zurück zum Zitat Rinzivillo S, Pedreschi D, Nanni M, Giannotti F, Andrienko N, Andrienko G (2008) Visually-driven analysis of movement data by progressive clustering. Inf Vis 7(3/4):225–239CrossRef Rinzivillo S, Pedreschi D, Nanni M, Giannotti F, Andrienko N, Andrienko G (2008) Visually-driven analysis of movement data by progressive clustering. Inf Vis 7(3/4):225–239CrossRef
Zurück zum Zitat Schreck T, Bernard J, Tekusova T, Kohlhammer J (2008) Visual cluster analysis in trajectory data using editable Kohonen maps. In: Proceedings IEEE symposium on visual analytics science and technology (VAST 2008), IEEE, pp 3–10 Schreck T, Bernard J, Tekusova T, Kohlhammer J (2008) Visual cluster analysis in trajectory data using editable Kohonen maps. In: Proceedings IEEE symposium on visual analytics science and technology (VAST 2008), IEEE, pp 3–10
Zurück zum Zitat Slocum TA, MacMaster RB, Kessler FC, Howard HH (2009) Thematic cartography and geovisualization, 3rd edn. Pearson Education, Upper Saddle River Slocum TA, MacMaster RB, Kessler FC, Howard HH (2009) Thematic cartography and geovisualization, 3rd edn. Pearson Education, Upper Saddle River
Zurück zum Zitat Tominski C, Schumann H, Andrienko G, Andrienko N (2012) Stacking-based visualization of trajectory attribute data. IEEE Trans Vis Comput Graph (Proc IEEE Inf Vis 2012) 18(12):2565–2574CrossRef Tominski C, Schumann H, Andrienko G, Andrienko N (2012) Stacking-based visualization of trajectory attribute data. IEEE Trans Vis Comput Graph (Proc IEEE Inf Vis 2012) 18(12):2565–2574CrossRef
Metadaten
Titel
Visualization of Trajectory Attributes in Space–Time Cube and Trajectory Wall
verfasst von
Gennady Andrienko
Natalia Andrienko
Heidrun Schumann
Christian Tominski
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-32618-9_11

Premium Partner