On Designing a GeoViz-Aware Database System - Challenges and Opportunities | SpringerLink
Skip to main content
Springer Nature Link
Log in

On Designing a GeoViz-Aware Database System - Challenges and Opportunities

  • Conference paper
  • First Online:
Advances in Spatial and Temporal Databases (SSTD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10411))

Included in the following conference series:

Abstract

The human’s ability to perceive, consume, and interact with the data is in-fact limited. One key observation is worth considering – that Geospatial data is typically consumed as aggregate visualizations.

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

Access this chapter

Log in via an institution

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 EPUB and 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

Similar content being viewed by others

References

  1. Battle, L., Chang, R., Stonebraker, M.: Dynamic prefetching of data tiles for interactive visualization. In: SIGMOD. ACM (2016)

    Google Scholar 

  2. Battle, L., Stonebraker, M., Chang, R.: Dynamic reduction of query result sets for interactive visualizaton. In: Big Data, pp. 1–8. IEEE (2013)

    Google Scholar 

  3. Cetintemel, U., Cherniack, M., DeBrabant, J., Diao, Y., Dimitriadou, K., Kalinin, A., Papaemmanouil, O., Zdonik, S.B.: Query steering for interactive data exploration. In: CIDR (2013)

    Google Scholar 

  4. Chan, S.-M., Xiao, L., Gerth, J., Hanrahan, P.: Maintaining interactivity while exploring massive time series. In: Symposium on Visual Analytics Science and Technology, pp. 59–66. IEEE (2008)

    Google Scholar 

  5. Kamat, N., Jayachandran, P., Tunga, K., Nandi, A.: Distributed interactive cube exploration. In: ICDE (2014)

    Google Scholar 

  6. Krumm, J.: A Markov model for driver turn prediction. In SAE (2008)

    Google Scholar 

  7. Lins, L., Klosowski, J.T., Scheidegger, C.: Nanocubes for real-time exploration of spatiotemporal datasets. TVCG 19(12), 2456–2465 (2013)

    Google Scholar 

  8. Liu, Z., Jiang, B., Heer, J.: imMens: real-time visual querying of big data. In: Computer Graphics Forum, vol. 32, pp. 421–430. Wiley Online Library (2013)

    Google Scholar 

  9. Nandi, A., Yu, C., Bohannon, P., Ramakrishnan, R.: Data cube materialization and mining over mapreduce. IEEE TKDE 24(10), 1747–1759 (2012)

    Google Scholar 

  10. Omidvar-Tehrani, B., Amer-Yahia, S., Termier, A.: Interactive user group analysis. In: CIKM, pp. 403–412. ACM (2015)

    Google Scholar 

  11. Pahins, C., Stephens, S., Scheidegger, C., Comba, J.: Hashedcubes: simple, low memory, real-time visual exploration of big data. TVCG 23, 671–680 (2016)

    Google Scholar 

  12. Park, Y., Cafarella, M., Mozafari, B.: Visualization-aware sampling for very large databases. In: ICDE. IEEE (2016)

    Google Scholar 

  13. Wang, L., Christensen, R., Li, F., Yi, K.: Spatial online sampling and aggregation. In: VLDB, vol. 9, pp. 84–95. VLDB Endowment (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Arizona State University, 699 S. Mill Ave, Tempe, AZ, USA

    Mohamed Sarwat

  2. Ohio State University, 2015 Neil Ave, Columbus, OH, USA

    Arnab Nandi

Authors
  1. Mohamed Sarwat
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arnab Nandi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohamed Sarwat .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Heidelberg University, Heidelberg, Germany

    Michael Gertz

  2. George Mason University, Fairfax, Virginia, USA

    Matthias Renz

  3. University of Queensland, Brisbane, Queensland, Australia

    Xiaofang Zhou

  4. ESRI, University of Minnesota, Minneapolis, Minnesota, USA

    Erik Hoel

  5. Auburn University, Auburn, Alabama, USA

    Wei-Shinn Ku

  6. Free University of Berlin, Dahlem, Berlin, Germany

    Agnes Voisard

  7. Microsoft, Redmond, Washington, USA

    Chengyang Zhang

  8. California State University, Sacramento, California, USA

    Haiquan Chen

  9. LinkedIn, Sunnyvale, California, USA

    Liang Tang

  10. University of North Texas, Denton, Texas, USA

    Yan Huang

  11. Virginia Tech, Falls Church, Virginia, USA

    Chang-Tien Lu

  12. Oracle, Redwood Shores, California, USA

    Siva Ravada

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Sarwat, M., Nandi, A. (2017). On Designing a GeoViz-Aware Database System - Challenges and Opportunities. In: Gertz, M., et al. Advances in Spatial and Temporal Databases. SSTD 2017. Lecture Notes in Computer Science(), vol 10411. Springer, Cham. https://doi.org/10.1007/978-3-319-64367-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64367-0_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64366-3

  • Online ISBN: 978-3-319-64367-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation