Data analysis and statistics for geography, environmental science, and engineering

This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author's many years of teaching undergraduate and graduate students in several countries, the book br...

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Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Acevedo, Miguel F.
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: Boca Raton CRC Press 2013
Taylor & Francis Group
Ausgabe:1
Schlagworte:
Data processing
Engineering
Engineering > Data processing
Engineering > Statistical methods
Environmental sciences
Environmental sciences > Data processing
Environmental sciences > Statistical methods
Geography
Geography > Data processing
Geography > Statistical methods
Statistical methods
ISBN:143988501X, 9781439885017
Online-Zugang:Volltext
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Inhaltsangabe:
  • 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 Series -- Chapter 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