Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
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| Autore: |
Acevedo Miguel F.
|
| Titolo: |
Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
|
| Pubblicazione: | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Edizione: | 1st edition |
| Descrizione fisica: | 1 online resource (549 p.) |
| Disciplina: | 519.5 |
| Soggetto topico: | Geography - Data processing |
| Geography - Statistical methods | |
| Environmental sciences - Data processing | |
| Environmental sciences - Statistical methods | |
| Engineering - Data processing | |
| Engineering - Statistical methods | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | 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 | |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Data analysis and statistics for geography, environmental science, and engineering |
| ISBN: | 0-429-16914-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910812160503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |