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Fractals --- Fractals. --- Earth sciences - Mathematics.

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A Complutense International Seminar on "Earth Sciences and Mathematics" was organised and held in Madrid at the Facultad de Ciencias Matemáticas of the Universidad Complutense de Madrid September, 13th-15th, 2006. Scientists from both fields, Mathematics and Earth Sciences, took part in this International Seminar, addressing scientific problems related with our planet from clearly complementary approaches, seeking to gain and learn from this dual approach and proposing a closer collaboration in the near future. This volume is the first one of a Topical Issue on "Earth Sciences and Mathematics" and contains papers addressing different topics as deformation modelling applied to natural hazards, inverse gravimetric problem to determine 3D density structure, advanced differential SAR interferometry, climate change, geomagnetic field, Earthquake statistics, meteorological studies using satellite images, climate energy balance models, study of soils properties, and multifractal data sets.

Earth Sciences. --- Earth Sciences, general. --- Geography. --- Géographie --- Earth sciences -- Mathematics. --- Earth sciences -- Statistical methods. --- Earth sciences. --- Geography --- Geology --- Earth & Environmental Sciences --- Physical Geography --- Geology - General --- Earth sciences --- Mathematics. --- Statistical methods. --- Geosciences --- Environmental sciences --- Physical sciences --- Cosmography --- World history

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MATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. The revised and updated Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.

Earth sciences --- Sciences de la terre --- Mathematics --- Data processing --- Mathématiques --- Informatique --- MATLAB --- Earth sciences -- Data processing. --- Earth sciences -- Mathematics. --- MATLAB. --- Geology --- Earth & Environmental Sciences --- Geology - General --- Mathematics. --- Data processing. --- Mathématiques --- EPUB-LIV-FT LIVTERRE SPRINGER-B --- Geosciences --- MATLAB (Computer program) --- Matrix laboratory --- Earth sciences. --- Geology. --- Geographical information systems. --- Earth Sciences. --- Geographical Information Systems/Cartography. --- Earth Sciences, general. --- Quantitative Geology. --- Statistical methods. --- Environmental sciences --- Physical sciences --- Geography. --- GeologyxMathematics. --- Cosmography --- World history --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geognosy --- Geoscience --- Natural history --- Geography --- Geomathematics --- Mathematical geology --- Geology—Statistical methods. --- MATLAB (Computer file) --- Earth sciences - Mathematics --- Earth sciences - Data processing

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MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models, and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis, and the application of linear time-invariant and adaptive filters. The revised and updated Third Edition includes ten new sections and has greatly expanded on most chapters from the previous edition, including a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Data Storage and Handling, Data Structures and Classes of Objects, Generating M-Files to Regenerate Graphs, Publishing M-Files, Distribution Fitting, Nonlinear and Weighted Regression, Color-Intensity Transects of Varved Sediments, and Grain Size Analysis from Microscope Images. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets. The online files accompanying the book contain exemplary data sets and a digital version of the MATLAB recipes.

Earth sciences -- Data processing. --- Earth sciences -- Mathematics. --- MATLAB. --- Earth sciences --- Geology --- Earth & Environmental Sciences --- Geology - General --- Mathematics --- Data processing --- Mathematics. --- Geosciences --- MATLAB (Computer program) --- Matrix laboratory --- Earth sciences. --- Earth Sciences. --- Earth Sciences, general. --- Quantitative Geology. --- Statistical methods. --- Environmental sciences --- Physical sciences --- MATLAB (Computer file)

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Geophysical Inverse Theory and Applications, Second Edition, brings together fundamental results developed by the Russian mathematical school in regularization theory and combines them with the related research in geophysical inversion carried out in the West. It presents a detailed exposition of the methods of regularized solution of inverse problems based on the ideas of Tikhonov regularization, and shows the different forms of their applications in both linear and nonlinear methods of geophysical inversion. It's the first book of its kind to treat many kinds of inversion and imaging techni

Earth sciences -- Mathematics. --- Geodynamics. --- Geophysics. --- Inversion (Geophysics). --- Cosmic Physics --- Physics --- Physical Sciences & Mathematics --- Inversion (Geophysics) --- Geophysics --- Functional analysis. --- Measurement. --- Functional analysis --- Mathematical optimization --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Functional calculus --- Calculus of variations --- Functional equations --- Integral equations --- Geological physics --- Terrestrial physics --- Earth sciences --- Inverse method (Geophysics) --- Inverse problem (Geophysics) --- Inverse theory (Geophysics) --- Inversion models (Geophysics) --- Models, Inversion (Geophysics) --- Prospecting --- Measurement --- Geophysical methods --- Mathematical models --- Mathematical optimization. --- Inversion (Géophysique) --- Analyse fonctionnelle. --- Optimisation mathématique.