Skip to content
Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Cart

Your Cart

×

You have 0 items in your cart.

Register Sign in Wishlist

Geostatistics Explained
An Introductory Guide for Earth Scientists

$40.00 (0) USD

$40.00 (0) USD
Adobe eBook Reader

You will be taken to ebooks.com for this purchase
Buy eBook Add to wishlist

Other available formats:
Hardback, Paperback


Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation of analysis of variance (ANOVA) leads onto advanced ANOVA designs, correlation and regression, and non-parametric tests including chi-square. Finally, it introduces the essentials of multivariate techniques, multi-dimensional scaling and cluster analysis, analysis of sequences and concepts of spatial analysis. Illustrated with wide-ranging examples from topics across the Earth and environmental sciences, Geostatistics Explained can be used for undergraduate courses or for self-study and reference. Worked examples at the end of each chapter reinforce a clear understanding of the statistical tests and their applications.

    • End-of-chapter worked examples allow the reader to manipulate data and see how tests and formulas actually work
    • Diagnostic tables for choosing the appropriate statistical test provide an excellent resource for the non-specialist
    • Explanations encourage and give the reader the confidence to use statistical tests and interpret the results effectively even if they have an aversion to mathematics
    Read more

    Reviews & endorsements

    "The book is easy to read, provides many examples, figures, graphs and illustrations as well as boxes providing complementary information. ... I can highly recommend this book based on my own experience with it, and can also imagine it being very useful for those teaching statistical methods to geoscientists." - Nina Kirchner, Mathematics Education Database

    "The book's accessible presentation style and numerous interesting, illustrative examples from topics across the earth sciences provide students and researchers with a good foundation and a clear understanding of the fundamentals of statistics. ... Useful index ... Highly recommended." CHOICE

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: April 2010
    • format: Adobe eBook Reader
    • isbn: 9780511686283
    • contains: 200 b/w illus. 93 tables 20 exercises
    • availability: Adobe Reader ebooks available from eBooks.com
  • Table of Contents

    Preface
    1. Introduction
    2. 'Doing science' - hypotheses, experiments and disproof
    3. Collecting and displaying data
    4. Introductory concepts of experimental design
    5. Doing science responsibly and ethically
    6. Probability helps you make a decision about your results
    7. Working from samples - data, populations and statistics
    8. Normal distributions - tests for comparing the means of one and two samples
    9. Type 1 and type 2 error, power and sample size
    10. Single factor analysis of variance
    11. Multiple comparisons after ANOVA
    12. Two-factor analysis of variance
    13. Important assumptions of analysis of variance: transformations and a test for equality of variances
    14. Two-factor analysis of variance without replication, and nested analysis of variance
    15. Relationships between variables: linear correlation and linear regression
    16. Linear regression
    17. Non-parametric statistics
    18. Non-parametric tests for nominal scale data
    19. Non-parametric tests for ratio, interval or ordinal scale data
    20. Introductory concepts of multivariate analysis
    21. Introductory concepts of sequence analysis
    22. Introductory concepts of spatial analysis
    23. Choosing a test
    Appendix A. Critical values of chi-square, Student's t and F
    Appendix B. Answers to questions
    References
    Index.

  • Instructors have used or reviewed this title for the following courses

    • Analysis of Earth Science Data
    • Data Methods in Geosciences
    • Earth Surface Processes
    • Environmental Geochemistry
    • Geostatistics
    • Intro to Geostatistics
    • Professional Writing in the Geosciences
    • Quantitative Methods In Geography
    • Quantitative Methods in the Geosciences
    • Scientific Methods In Geology
    • Spatial Statistics
    • Spatiotemporal Data Analysis
    • Statistics & Data Analysis for Earth Sciences
  • Authors

    Steve McKillup, Central Queensland University
    Steve McKillup is an Associate Professor in the Department of Biosystems and Resources at Central Queensland University. He has received several tertiary teaching awards, including the Vice-Chancellor's Award for Quality Teaching and a 2008 Australian Teaching and Learning Council citation 'For developing a highly successful method of teaching complex physiological and statistical concepts, and embodying that method in an innovative international textbook'. He is the author of Statistics Explained: An Introductory Guide for Life Scientists (Cambridge, 2006). His research interests include biological control of introduced species, the ecology of soft-sediment shores and mangrove swamps.

    Melinda Darby Dyar, Mount Holyoke College, Massachusetts
    Melinda Darby Dyar is an Associate Professor of Geology and Astronomy at Mount Holyoke College, Massachusetts. Her research interests range from innovative pedagogies and curricular materials to the characterization of planetary materials. She has studied samples from mid-ocean ridges and every continent on Earth, as well as from the lunar highlands and Mars. She is a Fellow of the Mineralogical Society of America, and the author or coauthor of more than 130 refereed journal articles. She is the author of two mineralogy DVDs used in college-level teaching, and a textbook, Mineralogy and Optical Mineralogy (2008).

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email cflack@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Find content that relates to you

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×