Graphics Programs Reference
In-Depth Information
more suitable programs than MATLAB for such analysis (e.g., Mardia
1972; Upton and Fingleton 1990)
Some of these methods require the application of numerical methods, such
as interpolation techniques or certain methods of signal processing. The fol-
lowing text is therefore mainly on statistical techniques, but also introduces
a number of numerical methods used in earth sciences.
Recommended Reading
Borradaile G (2003) Statistics of Earth Science Data - Their Distribution in Time, Space and
Orientation. Springer, Berlin Heidelberg New York
Carr JR (1995) Numerical Analysis for the Geological Sciences. Prentice Hall, Englewood
Cliffs, New Jersey
Davis JC (2002) Statistics and data analysis in geology, third edition. John Wiley and Sons,
New York
Mardia KV (1972) Statistics of Directional Data. Academic Press, London
Middleton GV (1999) Data Analysis in the Earth Sciences Using MATLAB. Prentice Hall
Press WH, Teukolsky SA, Vetterling WT (1992) Numerical Recipes in Fortran 77. Cambridge
University Press
Press WH, Teukolsky SA, Vetterling WT, Flannery BP (2002) Numerical Recipes in C++.
Cambridge University Press
Swan ARH, Sandilands M (1995) Introduction to geological data analysis. Blackwell
Sciences
Upton GJ, Fingleton B (1990) Spatial Data Analysis by Example, Categorial and Directional
Data. John Wiley & Sons
