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.
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
Firth D (2003) CGIwithR: Facilities for processing Web forms using R. J Stat Softw 8(10):1–8
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
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
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
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
Author information
Authors and Affiliations
Corresponding author
Rights 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
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00180-007-0058-8