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  • 1
    Online Resource
    Online Resource
    Computerized Modeling of Sedimentary Systems. (1998)
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Details
    Keywords: Sedimentary basins-Environmental aspects-Computer simulation. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (452 pages)
    Edition: 1st ed.
    ISBN: 9783662039021
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6554966
    DDC: 551.3/03
    Language: English
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  • 2
    Book
    Book
    Encyclopedia of marine geosciences (2016)
    Dordrecht : Springer Reference
    Details Availability
    Keywords: Earth sciences ; Geology ; Geophysics ; Oceanography ; Physical geography ; Ecology ; Earth Sciences ; Oceanography ; Wörterbuch ; Meereskunde ; Meer ; Hydrologie ; Meereskunde ; Meeresökologie ; Meeresbiologie ; Meereschemie ; Meeresphysik ; Meeresgeologie ; Meeresgeologie ; Meereskunde
    Type of Medium: Book
    Pages: xxix, 961 Seiten
    ISBN: 9789400762374 , 9789400762398
    Series Statement: Encyclopedia of Earth Sciences Series
    URL: https://swbplus.bsz-bw.de/bsz1644350955cov.jpg
    RVK:
    RB 10399
    Language: English
    Note: Literaturangaben
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  • 3
    Online Resource
    Online Resource
    Encyclopedia of marine geosciences (2016)
    Dordrecht : Springer Reference
    Details Availability
    Keywords: Earth sciences ; Earth Sciences ; Earth sciences ; Geophysics ; Geology ; Oceanography ; Physical geography ; Ecology ; Geophysics ; Geology ; Oceanography ; Physical geography ; Ecology ; Oceanography ; Wörterbuch ; Meereskunde ; Meer ; Hydrologie ; Meereskunde ; Meeresökologie ; Meeresbiologie ; Meereschemie ; Meeresphysik ; Meeresgeologie
    Description / Table of Contents: This Encyclopedia comprises the current knowledge in marine geosciences whereby not only basic but also applied and technical sciences are covered. Through this concept a broad scale of users in the field of marine sciences and techniques is addressed, from students and scholars in academia to engineers and decision makers in industry and politics. Globally growing demand of energy and mineral resources, reliable future projection of climate processes and the protection of coasts to mitigate the threats of disasters and hazards require a comprehensive understanding of the structure, ongoing processes and genesis of the marine geosphere. Beyond the “classical” research fields in marine geology in current time more general concepts have been evolved integrating marine geophysics, hydrography, marine biology, climatology and ecology. As an umbrella the term “marine geosciences” has been broadly accepted for this new complex field of research and the solutions of practical tasks in the marine realm
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (458 illus., 344 illus. in color. eReference, online resource)
    Edition: Springer eBook Collection. Earth and Environmental Science
    ISBN: 9789400762381 , 9789400762398
    Series Statement: Encyclopedia of Earth Sciences Series
    URL: https://doi.org/10.1007/978-94-007-6238-1
    URL: http://dx.doi.org/10.1007/978-94-007-6238-1
    URL: https://swbplus.bsz-bw.de/bsz470404582cov.jpg
    DOI: 10.1007/978-94-007-6238-1
    RVK:
    RB 10399
    Language: English
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  • 4
    Electronic Resource
    Electronic Resource
    Singularity and Nonnormality in the Classification of Compositional Data (1998)
    Springer
    Mathematical geology 30 (1998), S. 5-20 
    Details
    ISSN: 1573-8868
    Keywords: regionalization ; compositions ; pseudo-inverses ; logratio transforms
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Geologists may want to classify compositional data and express the classification as a map. Regionalized classification is a tool that can be used for this purpose, but it incorporates discriminant analysis, which requires the computation and inversion of a covariance matrix. Covariance matrices of compositional data always will be singular (noninvertible) because of the unit-sum constraint. Fortunately, discriminant analyses can be calculated using a pseudo-inverse of the singular covariance matrix; this is done automatically by some statistical packages such as SAS. Granulometric data from the Darss Sill region of the Baltic Sea is used to explore how the pseudo-inversion procedure influences discriminant analysis results, comparing the algorithm used by SAS to the more conventional Moore–Penrose algorithm. Logratio transforms have been recommended to overcome problems associated with analysis of compositional data, including singularity. A regionalized classification of the Darss Sill data after logratio transformation is different only slightly from one based on raw granulometric data, suggesting that closure problems do not influence severely regionalized classification of compositional data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1021705120065
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    Memorial Dimitrij Alekseevich Rodionov 1931–1994 (1995)
    Springer
    Mathematical geology 27 (1995), S. 811-812 
    Details
    ISSN: 1573-8868
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02273540
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    Paper (German National Licenses)
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