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    Productflyer - 978 3 540 43603 4

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    FrancoPaúlTafoyaGurtz
    This book provides a concise and graphical overview of statistics as applied to earth science data, which often involves spatial, temporal, and orientation variables that are not typically covered in undergraduate statistics courses. The book aims to explain statistical methods without advanced mathematical knowledge. Earth scientists must collect and analyze complex data beyond their experimental control, with relationships between variables that are loose and not easily isolated. Key challenges include spatial sampling, orientation data, regionalized variables, time series analysis, pattern identification, discrimination, and multivariate analysis.

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    Productflyer - 978 3 540 43603 4

    Uploaded by

    FrancoPaúlTafoyaGurtz
    27 views1 page
    This book provides a concise and graphical overview of statistics as applied to earth science data, which often involves spatial, temporal, and orientation variables that are not typically covered in undergraduate statistics courses. The book aims to explain statistical methods without advanced mathematical knowledge. Earth scientists must collect and analyze complex data beyond their experimental control, with relationships between variables that are loose and not easily isolated. Key challenges include spatial sampling, orientation data, regionalized variables, time series analysis, pattern identification, discrimination, and multivariate analysis.

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    Volante Geoingenieria

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    productFlyer_978-3-540-43603-4

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    This book provides a concise and graphical overview of statistics as applied to earth science data, which often involves spatial, temporal, and orientation variables that are not typically covered in undergraduate statistics courses. The book aims to explain statistical methods without advanced mathematical knowledge. Earth scientists must collect and analyze complex data beyond their experimental control, with relationships between variables that are loose and not easily isolated. Key challenges include spatial sampling, orientation data, regionalized variables, time series analysis, pattern identification, discrimination, and multivariate analysis.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    27 views1 page

    Productflyer - 978 3 540 43603 4

    Uploaded by

    FrancoPaúlTafoyaGurtz
    This book provides a concise and graphical overview of statistics as applied to earth science data, which often involves spatial, temporal, and orientation variables that are not typically covered in undergraduate statistics courses. The book aims to explain statistical methods without advanced mathematical knowledge. Earth scientists must collect and analyze complex data beyond their experimental control, with relationships between variables that are loose and not easily isolated. Key challenges include spatial sampling, orientation data, regionalized variables, time series analysis, pattern identification, discrimination, and multivariate analysis.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 1

    G.J.

    Borradaile

    Statistics of Earth Science Data


    Their Distribution in Time, Space and Orientation

    Pre-requisite knowledge of statistics not necessary


    Specialist terminology reduced to a minimum
    Very graphical approach with many examples

    2003, XXVII, 351 p.

    Printed book
    Hardcover
    94,95 | 85.50 | $129.00
    *101,60(D) | 104,45(A) | CHF136.50

    The Goals of Data Collection and Its Statistical Treatment in the Earth Sciences The earth
    sciences are characterised by loose and complex relationships between variables, and
    the necessity to understand the geographical dis tribution of observations as well as their
    frequency distribution. Our fre quency distributions and the looseness of relationships
    reflect the com plexity and intrinsic natural variation in nature, more than measurement
    error. Furthermore, earth scientists cannot design experiments according to statistical
    recommendation because the availability and complexity of data are beyond our control.
    Usually, the system we are studying cannot be isolated into discrete independent
    variables. These factors influence the first steps of research, how and where to collect
    specimens or observations. Some issues are particularly troublesome and common
    in earth science, but are rarely handled in an undergraduate statistics course. These
    include spatial-sampling methods, orientation data, regionalised variables, time series, identification of cyclicity and pattern, discrimination, multivariate systems, lurking
    variables and constant-sum data. It is remarkable that most earth-science students
    confront these issues without formal training or focused consideration.

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    Order online at springer.com or for the Americas call (toll free) 1-800-SPRINGER or email us at:
    customerservice@springer.com. For outside the Americas call +49 (0) 6221-345-4301 or email us at:
    customerservice@springer.com.
    The first price and the and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the (D) includes 7% for
    Germany, the (A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices
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