Author: Nigel Walford
Publisher: John Wiley & Sons
ISBN: 1119957028
Category : Science
Languages : en
Pages : 385
Book Description
Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software. Learning outcomes included in each chapter International focus Explains the underlying mathematical basis of spatial and non-spatial statistics Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods Written in an accessible, user-friendly style Datasets available on accompanying website at www.wiley.com/go/Walford
Practical Statistics for Geographers and Earth Scientists
Author: Nigel Walford
Publisher: John Wiley & Sons
ISBN: 1119957028
Category : Science
Languages : en
Pages : 385
Book Description
Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software. Learning outcomes included in each chapter International focus Explains the underlying mathematical basis of spatial and non-spatial statistics Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods Written in an accessible, user-friendly style Datasets available on accompanying website at www.wiley.com/go/Walford
Publisher: John Wiley & Sons
ISBN: 1119957028
Category : Science
Languages : en
Pages : 385
Book Description
Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software. Learning outcomes included in each chapter International focus Explains the underlying mathematical basis of spatial and non-spatial statistics Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods Written in an accessible, user-friendly style Datasets available on accompanying website at www.wiley.com/go/Walford
Introduction to Statistics for Geographers and Earth Scientists
Author: R. B. G. Williams
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 364
Book Description
The aims of statistics. Types of numetical data. Populations and samples. Probability and randomness. Frequency distributions. Measures of central tendency. Measures of dispersion and skewness. The binomial and poisson distributions. The normal and log-normal distirbutions. Hypothesis testing. One-sample tests based on Z and t. Interval estimation based on z and t. Paired-sample test based on t and w. Two-sample tests based on F,t and U. Chi-square tests. the product-moment coefficient of correlation. The interpretation of correlation coefficients. Linear regression. Confidence limits and significance tests for sample regression lines.
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 364
Book Description
The aims of statistics. Types of numetical data. Populations and samples. Probability and randomness. Frequency distributions. Measures of central tendency. Measures of dispersion and skewness. The binomial and poisson distributions. The normal and log-normal distirbutions. Hypothesis testing. One-sample tests based on Z and t. Interval estimation based on z and t. Paired-sample test based on t and w. Two-sample tests based on F,t and U. Chi-square tests. the product-moment coefficient of correlation. The interpretation of correlation coefficients. Linear regression. Confidence limits and significance tests for sample regression lines.
Intermediate Statistics for Geographers and Earth Scientists
Author: R. B. G. Williams
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 380
Book Description
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 380
Book Description
Practising Human Geography
Author: Paul Cloke
Publisher: SAGE
ISBN: 9780761973003
Category : Science
Languages : en
Pages : 436
Book Description
Practising Human Geography is critical introduction to disciplinary debates about the practice of human geography, that is informed by an inquiry into how geographers actually do research. In examining those methods and practices that are integral to doing geography, the text presents a theoretically-informed reflection on the construction and interpretation of geographical data - including factual and "fictional" sources; the use of core research methodologies; and the interpretative role of the researcher. Framed by an historical overview how ideas of practising human geography have changed, the following three sections offer an comprehensive and integrated overview of research methodologies. Illustrated throughout, the te
Publisher: SAGE
ISBN: 9780761973003
Category : Science
Languages : en
Pages : 436
Book Description
Practising Human Geography is critical introduction to disciplinary debates about the practice of human geography, that is informed by an inquiry into how geographers actually do research. In examining those methods and practices that are integral to doing geography, the text presents a theoretically-informed reflection on the construction and interpretation of geographical data - including factual and "fictional" sources; the use of core research methodologies; and the interpretative role of the researcher. Framed by an historical overview how ideas of practising human geography have changed, the following three sections offer an comprehensive and integrated overview of research methodologies. Illustrated throughout, the te
Statistics for Earth and Environmental Scientists
Author: John H. Schuenemeyer
Publisher: John Wiley & Sons
ISBN: 1118102215
Category : Mathematics
Languages : en
Pages : 341
Book Description
A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.
Publisher: John Wiley & Sons
ISBN: 1118102215
Category : Mathematics
Languages : en
Pages : 341
Book Description
A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.
Essential Statistics
Author: D. G. Rees
Publisher: Springer
ISBN: 1489972609
Category : Mathematics
Languages : en
Pages : 272
Book Description
Publisher: Springer
ISBN: 1489972609
Category : Mathematics
Languages : en
Pages : 272
Book Description
The Cumulative Book Index
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2056
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2056
Book Description
Geographical Data Analysis
Author: Nigel Walford
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 472
Book Description
It is increasingly important for the earth science student to appreciate that the acquisition of skills in statistics and computerised data analysis is as much part of modern geography as work in the field, laboratory or library. In this respect, Geographical Data Analysis aims to link the use of statistical techniques by means of computer software, to the acquisition of geographical-knowledge and the scientific method of enquiry. The book has three objectives: to explain basic statistical techniques and demonstrate their application to quantitative geography; to equip students with the knowledge and skills necessary for carrying out research projects; and to make the link between statistical analysis and the substantive topics taught as part of a geography course. An important innovative feature of the book is its project-orientated approach, which utilises exemplar projects drawn from human and physical geography. Each exemplar project shows the progress from the conception of the initial research through to the formulation of tentative hypotheses and the subsequent statistical analysis. The projects exemplify both primary and secondary methods for collecting geographical data, with the computer-based application of a wide range of statistical techniques. Thus, these projects allow discussion of sample design, data collection and computerisation, and a selection of appropriate statistical techniques. As such, Geographical Data Analysis integrates quantitative and geographical methodologies and provides a thorough understanding of basic statistical techniques for the undergraduate geography student; it will be of use from first year through to final degree dissertations.
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 472
Book Description
It is increasingly important for the earth science student to appreciate that the acquisition of skills in statistics and computerised data analysis is as much part of modern geography as work in the field, laboratory or library. In this respect, Geographical Data Analysis aims to link the use of statistical techniques by means of computer software, to the acquisition of geographical-knowledge and the scientific method of enquiry. The book has three objectives: to explain basic statistical techniques and demonstrate their application to quantitative geography; to equip students with the knowledge and skills necessary for carrying out research projects; and to make the link between statistical analysis and the substantive topics taught as part of a geography course. An important innovative feature of the book is its project-orientated approach, which utilises exemplar projects drawn from human and physical geography. Each exemplar project shows the progress from the conception of the initial research through to the formulation of tentative hypotheses and the subsequent statistical analysis. The projects exemplify both primary and secondary methods for collecting geographical data, with the computer-based application of a wide range of statistical techniques. Thus, these projects allow discussion of sample design, data collection and computerisation, and a selection of appropriate statistical techniques. As such, Geographical Data Analysis integrates quantitative and geographical methodologies and provides a thorough understanding of basic statistical techniques for the undergraduate geography student; it will be of use from first year through to final degree dissertations.
Diagenesis: A Quantitative Perspective
Author: Melvyn R. Giles
Publisher: Springer
ISBN:
Category : Nature
Languages : en
Pages : 550
Book Description
Dr. D.M.D. James, former head of Geological Research at Koninklijke/Shell Exploration and Production, Rijswijk, The Netherlands, describes this volume as follows: This advanced text treats the transformation of sediment into rock, a fundamental process which directly determines the storage and transmissibility properties of reservoirs and seals in hydrocarbon and groundwater systems and in strata-bound mineralization. Attention is paid to diagenetic data from classical petrography and geochemistry and the statistical techniques required to establish its significance and assist in its interpretation. Historically under-used methodologies such as mass balance calculations and the study of modern aquifer systems for understanding rock properties below ancient unconformities are also emphasised. New ground is broken by discussing physico-chemical processes and controls against a background of geological and hydrological evolution of sedimentary basins. Throughout, the emphasis is on the quantitative description and evaluation of the time-variant parameters controlling heat, fluid and mass transport in porous rock, and upon their integration using mathematics. A full mathematical background is provided and all the basic equations are rigorously derived. This book will prove essential for postgraduate academics and industrial professionals whose work involves predicting rock properties for basin evaluation, and is expected to stimulate new diagenetic research.
Publisher: Springer
ISBN:
Category : Nature
Languages : en
Pages : 550
Book Description
Dr. D.M.D. James, former head of Geological Research at Koninklijke/Shell Exploration and Production, Rijswijk, The Netherlands, describes this volume as follows: This advanced text treats the transformation of sediment into rock, a fundamental process which directly determines the storage and transmissibility properties of reservoirs and seals in hydrocarbon and groundwater systems and in strata-bound mineralization. Attention is paid to diagenetic data from classical petrography and geochemistry and the statistical techniques required to establish its significance and assist in its interpretation. Historically under-used methodologies such as mass balance calculations and the study of modern aquifer systems for understanding rock properties below ancient unconformities are also emphasised. New ground is broken by discussing physico-chemical processes and controls against a background of geological and hydrological evolution of sedimentary basins. Throughout, the emphasis is on the quantitative description and evaluation of the time-variant parameters controlling heat, fluid and mass transport in porous rock, and upon their integration using mathematics. A full mathematical background is provided and all the basic equations are rigorously derived. This book will prove essential for postgraduate academics and industrial professionals whose work involves predicting rock properties for basin evaluation, and is expected to stimulate new diagenetic research.
Cumulative Book Index
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2056
Book Description
A world list of books in the English language.
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2056
Book Description
A world list of books in the English language.