03724nam 2200697I 450 991046010710332120200520144314.00-429-16914-0(CKB)3710000000373045(EBL)1446338(SSID)ssj0001401016(PQKBManifestationID)12572281(PQKBTitleCode)TC0001401016(PQKBWorkID)11344488(PQKB)11480343(MiAaPQ)EBC1446338(CaSebORM)9781439885017(Au-PeEL)EBL1446338(CaPaEBR)ebr11165989(OCoLC)908077475(OCoLC)900220402(EXLCZ)99371000000037304520180611d2012 uy 0engur|n|---|||||txtccrData analysis and statistics for geography, environmental science, and engineering /by Miguel F. Acevedo1st editionBoca Raton, FL :CRC Press, an imprint of Taylor and Francis,2012.1 online resource (549 p.)Description based upon print version of record.1-4398-8501-X 1-4665-9221-4 Includes bibliographical references.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 ModelsChapter 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 CoverProviding 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.GeographyData processingGeographyStatistical methodsEnvironmental sciencesData processingEnvironmental sciencesStatistical methodsEngineeringData processingEngineeringStatistical methodsElectronic books.GeographyData processing.GeographyStatistical methods.Environmental sciencesData processing.Environmental sciencesStatistical methods.EngineeringData processing.EngineeringStatistical methods.519.5Acevedo Miguel F.930402MiAaPQMiAaPQMiAaPQBOOK9910460107103321Data analysis and statistics for geography, environmental science, and engineering2092817UNINA