Skip to main content
Log in

SVG+Ajax+R: a new framework for WebGIS

  • Original Paper
  • Published:
Computational Statistics Aims and scope Submit manuscript

Abstract

This paper first proposes a method of establishing a Web-based system that can visualize statistical data that are accompanied by geographical information and analyze it interactively using dynamic graphics. In terms of the graphics format, our proposed system uses XML-based 2D vector graphics, known as Scalable Vector Graphics (SVG). To install an enhanced interactive function, we adopted a technique of server–client asynchronous communication using JavaScript, called Asynchronous JavaScript and XML (Ajax) and R, which perform statistical analysis on the server side. This enables Web developers to construct a lightweight system including statistical computing rapidly. Furthermore, many users get possible to utilize such data effectively and efficiently anywhere anytime. The latter half of this paper introduces the WebGIS realized by this framework. We then discuss the possibility and advantages of applying this new method to the dynamic graphics proposed previously.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Carr DB, Olsen AR, Courbois JP, Pierson SM, Carr DA (1998) Linked Micromap plots: named and described. Stat Comput Stat Graph Newsl 9(1):24–32

    Google Scholar 

  • Firth D (2003) CGIwithR: Facilities for processing Web forms using R. J Stat Softw 8(10):1–8

    Google Scholar 

  • Fujino T, Yamamoto Y, Tarumi T (2004) Possibilities and problems of the XML-based graphics in statistics. In: COMPSTAT2004 Proceedings in Computational Statistics, pp 1043–1052

  • Horner J (2005) Embedding R within Apache Web Server: what’s the use? A workshop on directions in statistical computing, Seattle

  • Swayne DF, Cook D, Buja A (1998) XGobi: interactive dynamic data visualization in the X Window system. J Comput Graph Stat 7(1):113–130

    Article  Google Scholar 

  • Swayne DF, Lang DT, Buja A, Cook D (2003) GGobi: evolving from XGobi into an extensible framework for interactive data visualization. Comput Stat Data Anal 43:423–444

    Article  MathSciNet  Google Scholar 

  • Theus M (2002) Interactive data visualization using Mondrian. J Stat Softw 7(11)

  • Wang X, Chen JM, Carr DB, Bell BS, Pickle LW (2002) Geographics statistics visualization: Web-based linked Micromap plots. Comput Sci Eng 4(3):90–94

    Article  Google Scholar 

Web References

  • U.S. National Institute of Cancer, Cancer Mortality Maps & Graphs, http://www3.cancer.gov/atlasplus/

  • W3C (2001), Scalable Vector Graphics(SVG), http://www.w3.org/Graphics/SVG/

  • The R Project for Statistical Computing, http://www.r-project.org/

  • Web3D Consortium, Extensible 3D(X3D), http://www.web3d.org/x3d/

  • World Wide Web Consortium, http://www.w3.org/

  • The StatDataML package, http://www.omegahat.org/StatDataML/

  • Open Geospatial Consortium: GML, http://opengis.net/gml/

  • Adobe SVG Viewer, http://www.adobe.com/svg/

  • CGIwithR, http://www.omegahat.org/CGIwithR/

  • National Institute for Environmental Studies, http://www.nies.go.jp/index.html

  • Download page of atomospheric environment data (in Japansese), http://www.nies.go.jp/igreen/td_down.html

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tomokazu Fujino.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fujino, T. SVG+Ajax+R: a new framework for WebGIS. Computational Statistics 22, 511–520 (2007). https://doi.org/10.1007/s00180-007-0058-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00180-007-0058-8

Keywords

Navigation