Computational Astronomy: Current Directions And Future Perspectives
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@MISC{Murtagh_computationalastronomy:,
author = {F. Murtagh and Observatoire Astronomique},
title = {Computational Astronomy: Current Directions And Future Perspectives},
year = {}
}
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Abstract
. We review data analysis, pursuing the following lines of enquiry: traditional, numeric data analysis, based on graphical means; \active" data analysis, where the results provide new graphical user interfaces, or where the results are used to facilitate navigation in information spaces; and newly developed tools and techniques for the processing of image and other signal objects. 1. Data Analysis for Visualization Frequently the analyst must interact with the data. This means that one type of display is made, followed by a dierent visualization of some subset of the data. The term \exploratory data analysis" is most closely associated with the name of Tukey (Princeton). Interactive statistics is another term used, and this activity may be supported by computer software. A prime example is the S language (or software environment) originating in ATT Bell Labs, and enhanced as the S-Plus package by MathSoft Inc. (formerly StatSci Inc.). Figures 1, 2 and 3 illustrate complementary view...
