TY  - BOOK
A1  - Trauth, Martin H.
T1  - Matlab in geosciences : recipes for data analysis
T3  - MATLAB® Recipes for Earth Sciences
N2  - 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 basic methods of data analysis in geosciences using MATLAB. 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. The book comes with a CD containing exemplary data sets and a digital version of the MATLAB recipes. (Springer)
Y1  - 2006
SN  - 3-540-27983-0
U6  - https://doi.org/10.1007/3-540-27984-9
PB  - Springer-Verlag Berlin Heidelberg
CY  - Berlin, Heidelberg
ER  - 
TY  - BOOK
A1  - Trauth, Martin H.
T1  - MATLAB recipes for earth sciences
Y1  - 2007
SN  - 978-3-540-72748-4
PB  - Springer
CY  - Berlin, New York
ER  - 
TY  - BOOK
A1  - Trauth, Martin H.
T1  - MATLAB recipes for earth sciences : with CD-ROM
N2  - 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 basic methods of data analysis in geosciences using MATLAB. The text includes a brief description of each method and numerous examples on how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can easily be modified in order to analyse the reader's own data sets. The book comes with a CD containing example data sets and a digital version of the MATLAB recipes.
Y1  - 2006
SN  - 3-540-27983-0
PB  - Springer
CY  - Heidelberg
ER  - 
TY  - BOOK
A1  - Trauth, Martin H.
T1  - Python Recipes for Earth Sciences
T3  - Springer Textbooks in Earth Sciences, Geography and Environment
N2  - Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.
KW  - computational geosciences
KW  - geoinformatics
KW  - geostatistics
KW  - mathematical geology
KW  - geomodeling
KW  - digital elevation models
KW  - climate time series analysis
Y1  - 2022
SN  - 978-3-031-07719-7
SN  - 978-3-031-07718-0
SN  - 978-3-031-07720-3
SN  - 978-3-031-07721-0
U6  - https://doi.org/10.1007/978-3-031-07719-7
SN  - 2510-1307
SN  - 2510-1315
PB  - Springer
CY  - Cham
ER  -