Multiple Scatter Plots Based Multi-dimensional Transfer Function for Visualizing Ocean Simulation Data | SpringerLink
Skip to main content

Multiple Scatter Plots Based Multi-dimensional Transfer Function for Visualizing Ocean Simulation Data

  • Conference paper
AsiaSim 2014 (AsiaSim 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 474))

Included in the following conference series:

Abstract

This study proposes a multiple scatter plots based multi-dimensional transfer function for visualizing characteristic structures from ocean simulation data. In the proposed method, characteristic features are manually extracted in a couple of 2-dimensional scatter plots using visual effect and empirical judgment based on user’s existing knowledge. Extracted structures in each 2-variable space are assigned to other color dimensions such as Hue, Saturation and Brightness for the purposes of feature specification and classification. We applied the proposed method to high-resolution ocean data in two different regions. Ocean currents are intuitively extracted in multiple scatter plots and represented using multi-dimensional transfer functions.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice Hall (1988)

    Google Scholar 

  2. Kaufman, L., Rousseuw, P.J.: Finding Groups in Data: an Introduction to Cluster Analysis. John Wley & Sons (1990)

    Google Scholar 

  3. Zhou, H., Yuan, X., Qu, H., Cui, W., Chen, B.: Visual Clustering in Parallel Coordinates. In: Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization 2008, vol. 27(3), pp. 1047–1054 (2008)

    Google Scholar 

  4. Guo, H., Xiao, H., Yuan, X.: Multi-Dimensional Transfer Function Design based on Flexible Dimension Projection Embedded in Parallel Coordinates. In: Proceedings of 2011 IEEE Pacific Visualization Symposium (PacificVis), pp. 19–26 (2011)

    Google Scholar 

  5. Zhou, L., Hansen, C.: Transfer function design based on user selected samples for intuitive multivariate volume exploration. In: Proceedings of 2013 IEEE Pacific Visualization Symposium (PacificVis), pp. 73–80 (2013)

    Google Scholar 

  6. Steinhaus, H.: Sur la division des corps materiels en parties. Bulletin de l’Academie Polonaise des Sciences, Classe III IV(12), 801–804 (1956)

    MathSciNet  Google Scholar 

  7. Karypis, G., Han, E., Chameleon, V.K.: A hierarchical clustering algorithm using dynamic modeling. IEEE Computer 32(8), 68–75 (1999)

    Article  Google Scholar 

  8. Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD 1996), pp. 226–231 (1996)

    Google Scholar 

  9. Matsuoka, D., Araki, F., Sasaki, H., Kida, S., Taguchi, B.: Visualization for Ocean General Circulation Model via Multi-dimensional Transfer Function and Multivariate Analysis. Transaction of the Japan Society for Simulation Technology 4(4), 168–175 (2012)

    Google Scholar 

  10. Hartigan, J.A.: Printer graphics for clustering. Journal of Statistical Computation and Simulation 4(3), 187–213 (1975)

    Article  MATH  Google Scholar 

  11. Inselberg, A.: The plane with parallel coordinates. The Visual Computer 1(2), 69–91 (1985)

    Article  MATH  Google Scholar 

  12. Becker, R., Cleveland, W.: Brushing scatterplots. Technometrics 29(2), 127–142 (1987)

    Article  MathSciNet  Google Scholar 

  13. Levoy, M.: Display of Surfaces from Volume Data. IEEE Computer Graphics and Applications 8(3), 29–37 (1988)

    Article  Google Scholar 

  14. Kniss, J., Kindlmann, G., Hansen, C.: Multidimensional Transfer Functions for Interactive Volume Rendering. IEEE Transactions on Visualization and Computer Graphics 8(3), 270–285 (2002)

    Article  Google Scholar 

  15. Kindlmann, G.: Multidimensional transfer functions for interactive volume rendering: Design, interface, interaction. SIGGRAPH Course Notes, No. 8, Vol. 3 (2002)

    Google Scholar 

  16. Kniss, J., Hansen, C., Grenier, M., Robinson, T.: Volume rendering multivariate data to visualize meteorological simulations: case study. In: Proceedings of Symposium on Data Visualization (VisSym 2002), pp. 189–194 (2002)

    Google Scholar 

  17. Doleisch, H., Gasser, M., Hauser, H.: Interactive Feature Specification for Focus+Context Visualization of Complex Simulation Data. In: Proceedings of the Symposium on Data Visualization 2003 (VisSym 2003), pp. 239–248 (2003)

    Google Scholar 

  18. Wong, P.C., Foote, H., Kao, D.L., Leung, R., Thomas, J.: Multivariate visualization with data fusion. Information Visualization 1(3-4), 182–193 (2002)

    Article  Google Scholar 

  19. Urness, T., Interrante, V., Marusic, I., Longmire, E., Ganapathisubramani, B.: Effectively Visualizing Multi-Valued Flow Data using Color and Texture. In: Proceedings of the 14th IEEE Visualization 2003 (VIS 2003), pp. 115–121 (2003)

    Google Scholar 

  20. Cabral, B., Leedom, L.: Imaging Vector Fields Using Line Integral Convolution. In: Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH 1993), pp. 263–270 (1993)

    Google Scholar 

  21. Rheingans, P.: Task-based Color Scale Design. In: Proceedings of Applied Image and Pattern Recognition (SPIE 1999), pp. 25–43 (1999)

    Google Scholar 

  22. Kaye, N.R., Hartley, A., Hemming, D.: Mapping the climate: guidance on appropriate techniques to map climate variables and their uncertainty. Geoscientific Model Development 5, 245–256 (2012)

    Article  Google Scholar 

  23. Crossno, P., Angel, E., Munich, D.: Case Study: Visualizing Ocean Currents with Color and Dithering. In: Proceedings of IEEE Symposium on Parallel and large-Data Visualization and Graphics (PCG 2001), pp. 27–41 (2001)

    Google Scholar 

  24. Hengl, T.: Visualization of uncertainty using the HSI colour model: Computation with colours. In: Proceedings of the 7th International Conference on GeoComputation, pp. 8–17 (2003)

    Google Scholar 

  25. Masumoto, Y., Sasaki, H., Kagimoto, T., Komori, N., Ishida, A., Sasai, Y., Miyama, T., Motoi, T., Mitsudera, H., Takahashi, K., Sakuma, H., Yamagata, T.: A Fifty-year Eddy-Resolving Simulation of the World Ocean: Preliminary Outcomes of OFES (OGCM for the Earth Simulator). Journal of the Earth Simulator 1, 25–56 (2004)

    Google Scholar 

  26. Sasaki, H., Nonaka, M., Masumoto, Y., Sasai, Y., Uehara, H., Sakuma, H.: An Eddy-Resolving Hindcast Simulation of the Quasi-Global Ocean from 1950 to 2003 on the Earth Simulator. In: Hamilton, K., Ohfuchi, W. (eds.) High Resolution Numerical Modeling of the Atmosphere and Ocean, pp. 157–186. Springer, New York (2008)

    Chapter  Google Scholar 

  27. Chen, H.: Compound brushing. In: Proceedings of IEEE Symposium on Information Visualization 2003, pp. 181–188 (2003)

    Google Scholar 

  28. Cottam, J., Wang, P., Lumsdaine, A.: Overplotting: Unified Solutions under Abstract Rendering. In: Proceedings of 2013 IEEE International Conference on Big Data 2013, pp. 9–16 (2013)

    Google Scholar 

  29. Mayorga, A., Gleicher, M.: Splatterplots: Overcoming Overdraw in Scatter Plots. IEEE Transactions on Visualization and Computer Graphics 19(9), 1526–1538 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Matsuoka, D., Araki, F., Yamashita, Y. (2014). Multiple Scatter Plots Based Multi-dimensional Transfer Function for Visualizing Ocean Simulation Data. In: Tanaka, S., Hasegawa, K., Xu, R., Sakamoto, N., Turner, S.J. (eds) AsiaSim 2014. AsiaSim 2014. Communications in Computer and Information Science, vol 474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45289-9_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45289-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45288-2

  • Online ISBN: 978-3-662-45289-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics