Data Analysis in the Earth Sciences Using MatlabŪ
This unique book introduces earth scientists to MATLAB and its use for displaying and analyzing typical data sets encountered in geology, geophysics, or geography. Includes many MATLAB scripts to implement displays of graph types rarely provided by spreadsheets or presentation graphics programs. These include triangular diagrams, rose diagrams, stereographic projections, histograms with fitted normal curves, cumulative curves (plotted on probability paper), trend surface and residual contour plots, semivariograms, and divider plots for the determination of fractal dimension. Appropriate for those interested in Data Analysis found in geology, geography, or geographics.
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Fundamentals of Statistics
Algorithms and Computing
Data as Matrices
9 other sections not shown
algorithm analysis of variance applied ASCII autocorrelation function autocovariance average Butterworth filter calculate called Chapter column vector compositional data contour correlation coefficient Cosine covariance curve Davis defined degrees of freedom determine discussion distance earth sciences eigenvalues elements equal equations error estimate example filter Fourier Fourier series fprintf fractal dimension frequency Geology Geostatistics Gerry Middleton given graph graphics grid histogram implemented independent variables interpolation intervals Introduction John Wiley kriging large number length linear regression Manual mathematical MATLAB MATLAB function MATLAB scripts mean measured method multiple nonlinear nonlinear regression Normal distribution null hypothesis Nyquist frequency original partial autocorrelation plot polynomial population probability produced ratios result rows scale semivariance semivariogram shown in Figure size(X Software space spatial spline statistics sum of squares techniques theta Wijs data Wiley and Sons Written by Gerry York zero