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Data analysis and statistics for geography, environmental science, and engineering / by Miguel F. Acevedo.
O'Reilly Online Learning: Academic/Public Library Edition Available online
O'Reilly Online Learning: Academic/Public Library Edition- Format:
- Book
- Author/Creator:
- Acevedo, Miguel F., author.
- Language:
- English
- Subjects (All):
- Geography--Data processing.
- Geography--Statistical methods.
- Environmental sciences--Data processing.
- Environmental sciences--Statistical methods.
- Engineering--Data processing.
- Engineering--Statistical methods.
- Physical Description:
- 1 online resource (549 p.)
- Edition:
- 1st edition
- Other Title:
- ENVIROnetBASE
- Place of Publication:
- Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2012.
- Language Note:
- 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:
- 9781040071571
- 1040071570
- 9780429169144
- 0429169140
- OCLC:
- 908077475
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