Franklin

Data analysis and statistics for geography, environmental science, and engineering / by Miguel F. Acevedo.

Author/Creator:
Acevedo, Miguel F., author.
Publication:
Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2012.
Format/Description:
Book
1 online resource (549 p.)
Edition:
1st edition
Status/Location:
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Other records:
Subjects:
Geography -- Data processing.
Geography -- Statistical methods.
Environmental sciences -- Data processing.
Environmental sciences -- Statistical methods.
Engineering -- Data processing.
Engineering -- Statistical methods.
Form/Genre:
Electronic books.
Language:
English
System Details:
text file
Summary:
Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines.
Contents:
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover
Notes:
Description based upon print version of record.
Includes bibliographical references.
Description based on print version record.
ISBN:
0-429-16914-0
OCLC:
908077475