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Editorial

Abstract

Introduction

The Projection Pursuit

RADVIZ

Parallel Coordinates

User Interaction

Finding Outliers

Conclusions

References

Appendix A - Datasets

Appendix B


Case Studies Index

An Investigation of Methods for Visualising Highly Multivariate Datasets

8. References

Ankerst, M., Keim, D., and H.-P., K. 1996. Circle segments: A technique for visually exploring lagre dimensional data sets. In Proceedings of the IEEE Visualization Conference.

Brunsdon, C. and Charlton, M., 1996. A spatial analysis development system using Lisp. In Parker, D., editor, Innovations in GIS 3, Taylor & Francis, London.

Brunsdon, C., Fotheringham, A. and Charlton, M., 1996. Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis 28:281-289.

Inselberg, A., Tuval, C. and Reif, M., 1987. Convexity algorithms in parallel coodinates. Journal of the ACM 34: 765-801.

Jones, M. and Sibson, R., 1987. What is projection pursuit (with discussions). Journal of the Royal Statistical Society 150: 1-36.

Moran, P., 1948. The interpretation of statistical maps. Journal of the Royal Statistical Society (B) 10: 243-251.

Tierney, L., 1990. LISP-STAT: An Object Oriented Environment for Statistical Computing and Dynamic Graphics. Wiley, Chichester.

Velleman, P.F., and Hoaglin, D., 1981. Applications, Basics and Computing of Exploratory Data Analysis. Duxbury Press, Boston.

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