Call number:
PIK M 102-08-0153
;
PIK M 102-08-0257
;
19/M 10.0047
;
AWI S1-10-0005
Type of Medium:
Monograph available for loan
Pages:
XII, 288 Seiten
,
Illustrationen, Diagramme, Karten
,
1 CD-ROM (12 cm)
Edition:
Second edition
ISBN:
3540727485
,
978-3-540-72748-4
URL:
http://digitale-objekte.hbz-nrw.de/storage2/2018/02/01/file_150/7517224.pdf
Language:
English
Note:
Contents
Preface
1 Data Analysis in Earth Sciences
1.1 Introduction
1.2 Collecting Data
1.3 Types of Data
1.4 Methods of Data Analysis
Recommended Reading
2 Introduction to MATLAB
2.1 MATLAB in Earth Sciences
2.2 Getting Started
2.3 The Syntax
2.4 Data Storage
2.5 Data Handling
2.6 Scripts and Functions
2.7 Basic Visualization Tools
Recommended Reading
3 Univariate Statistics
3.1 Introduction
3.2 Empirical Distributions
Measures of Central Tendency
Measures of Dispersion
3.3 Example of Empirical Distributions
3.4 Theoretical Distributions
Uniform Distribution
Binomial or Bernoulli Distribution
Poisson Distribution
Normal or Gaussian Distribution
Logarithmic Normal or Log-Normal Distribution
Student's t Distribution
Fisher's F Distribution
Χ2 or Chi-Squared Distribution
3.5 Example ofTheoretical Distributions
3.6 Thet-Test
3.7 TheF-Test
3.8 The Χ2-Test
Recommended Reading
4 Bivariate Statistics
4.1 Introduction
4.2 Pearson's Correlation Coefficient
4.3 Classical Linear Regression Analysis and Prediction
4.4 Analyzing the Residuals
4.5 Bootstrap Estimates of the Regression Coefficients
4.6 Jackknife Estimates of the Regression Coefficients
4.7 Cross Validation
4.8 Reduced Major Axis Regression
4.9 Curvilinear Regression
Recommended Reading
5 Time-Series Analysis
5.1 Introduction
5.2 Generating Signals
5.3 Blackman-Tukey Autospectral Analysis
5.4 Blackman-Tukey Crossspectral Analysis
5.5 Interpolating and Analyzing Unevenly-Spaced Data
5.6 Evolutionary Blackman-Tukey Powerspectrum
5.7 Lomb-Scargle Powerspectrum
5.8 Wavelet Powerspectrum
5.9 Nonlinear Time-Series Analysis (by N. Marwarn)
Phase Space Portrait
Recurrence Plots
Recommended Reading
6 Signal Processing
6.1 Introduction
6.2 Generating Signals
6.3 Linear Time-Invariant Systems
6.4 Convolution and Filtering
6.5 Comparing Functions for Filtering Data Series
6.6 Recursive and Nonrecursive Filters
6.7 Impulse Response
6.8 Frequency Response
6.9 Filter Design
6.10 Adaptive Filtering
Recommended Reading
7 Spatial Data
7.1 Types of Spatial Data
7.2 The GSHHS Shoreline Data Set
7.3 The 2-Minute Gridded Global Elevation Data ETOPO2
7.4 The 30-Arc Seconds Elevation Model GTOPO30
7.5 The Shuttle Radar Topography Mission SRTM
7.6 Gridding and Contouring Background
7.7 Gridding Example
7.8 Comparison of Methods and Potential Artifacts
7.9 Statistics of Point Distributions
Test for Uniform Distribution
Test for Random Distribution
Test for Clustering
7.10 Analysis of Digital Elevation Models (by R. Gebbers)
7.11 Geostatistics and Kriging (by R. Gebbers)
Theorical Background
Preceding Analysis
Variography with the Classical Variogram
Kriging
Discussion of Kriging
Recommended Reading
8 Image Processing
8.1 Introduction
8.2 Datastorage
8.3 Importing, Processing and Exporting Images
8.4 Importing, Processing and Exporting Satellite Images
8.5 Georeferencing Satellite Images
8.6 Digitizing from the Screen
Recommended Reading
9 Multivariate Statistics
9.1 Introduction
9.2 Principal Component Analysis
9.3 Independent Component Analysis (by N. Marwan)
9.4 Cluster Analysis
Recommended Reading
10 Statistics on Directional Data
10.1 Introduction
10.2 Graphical Representation
10.3 Empirical Distributions
10.4 Theoretical Distributions
10.5 Test for Randomness of Directional Data
10.6 Test for the Significance of a Mean Direction
10.7 Test for the Difference of Two Sets of Directions
Recommended Reading
General Index
Location:
A 18 - must be ordered
Location:
A 18 - must be ordered
Location:
Reading room
Location:
Reading room
Branch Library:
PIK Library
Branch Library:
PIK Library
Branch Library:
GFZ Library
Branch Library:
AWI Library
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