Graphical and Numerical Analysis of Spatial Data with a GUI and R
DOI:
https://doi.org/10.17713/ajs.v40i1&2.195Abstract
This paper is on the basis of DAS+R, a package of R still under development using a graphical user interface which should ease the application of more or less sophisticated methods. It is heavily relying on Reimann, Filzmoser, Garrett, and Dutter (2008), for which it can represent a companion. The basis of the graphical user interface comes from the R Commander (see Fox, 2004). It uses Tcl/Tk programming tools. The emphasis is on theanalysis of spatially depending uni- or multivariate data, particularly on problems of geochemical data.
We describe in short the important features of data analysis in this field with realized functionalities with its clickable icons in DAS+R. Finally, we give a short illustration on a practical example.
References
Fox, J. (2004). Getting started with the R commander: A basic-statistics graphical user interface to R. J. Statist. Software, 14(9), 1-42. Available from http://socserv.socsci.mcmaster.ca/jfox/Misc/Rcmdr/index.html
Reimann, C., Äyräs, M., Chekushin, V., Bogatyrev, I., Boyd, R., Caritat, P. de, et al. (1998). Environmental Geochemical Atlas of the Central Barents Region. P.O. Box 3006, Lade, N-7002 Trondheim, Norway: Geological Survey of Norway (NGU).
Reimann, C., Filzmoser, P., Garrett, R., and Dutter, R. (2008). Statistical Data Analysis Explained. Applied Environmental Statistics with R. New York: Wiley & Sons.
Welch, B., and Jones, K. (2003). Practical Programming in Tcl and Tk. New York: Prentice Hall PTR.
Downloads
Published
How to Cite
Issue
Section
License
The Austrian Journal of Statistics publish open access articles under the terms of the Creative Commons Attribution (CC BY) License.
The Creative Commons Attribution License (CC-BY) allows users to copy, distribute and transmit an article, adapt the article and make commercial use of the article. The CC BY license permits commercial and non-commercial re-use of an open access article, as long as the author is properly attributed.
Copyright on any research article published by the Austrian Journal of Statistics is retained by the author(s). Authors grant the Austrian Journal of Statistics a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its original authors, citation details and publisher are identified.
Manuscripts should be unpublished and not be under consideration for publication elsewhere. By submitting an article, the author(s) certify that the article is their original work, that they have the right to submit the article for publication, and that they can grant the above license.
