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Statistical Methods for Geography

Statistical Methods for Geography Pdf/ePub eBook Author:
Editor: SAGE
ISBN: 1529700213
FileSize: 369kb
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Statistical Methods for Geography by Summary

Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: · Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. · New examples from physical geography and additional real-world examples. · Updated in-text and online exercises along with downloadable datasets. This is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.

Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences Pdf/ePub eBook Author: Jacob Cohen
Editor: Routledge
ISBN: 1134742770
FileSize: 1117kb
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Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Summary

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Statistics for Geography and Environmental Science

Statistics for Geography and Environmental Science Pdf/ePub eBook Author: Richard Harris,Claire Jarvis
Editor: Routledge
ISBN: 1317904400
FileSize: 1901kb
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Statistics for Geography and Environmental Science by Richard Harris,Claire Jarvis Summary

Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science. This textbook is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of core interest to physical and human geographers, and to environmental scientists. It covers the subject in a broadly conventional way from descriptive statistics, through inferential statistics to relational statistics but does so with an emphasis on applied data analysis throughout.

Rediscovering Geography

Rediscovering Geography Pdf/ePub eBook Author: Rediscovering Geography Committee,Commission on Geosciences, Environment and Resources,Division on Earth and Life Studies,National Research Council
Editor: National Academies Press
ISBN: 0309577624
FileSize: 1631kb
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Rediscovering Geography by Rediscovering Geography Committee,Commission on Geosciences, Environment and Resources,Division on Earth and Life Studies,National Research Council Summary

As political, economic, and environmental issues increasingly spread across the globe, the science of geography is being rediscovered by scientists, policymakers, and educators alike. Geography has been made a core subject in U.S. schools, and scientists from a variety of disciplines are using analytical tools originally developed by geographers. Rediscovering Geography presents a broad overview of geography's renewed importance in a changing world. Through discussions and highlighted case studies, this book illustrates geography's impact on international trade, environmental change, population growth, information infrastructure, the condition of cities, the spread of AIDS, and much more. The committee examines some of the more significant tools for data collection, storage, analysis, and display, with examples of major contributions made by geographers. Rediscovering Geography provides a blueprint for the future of the discipline, recommending how to strengthen its intellectual and institutional foundation and meet the demand for geographic expertise among professionals and the public.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Mathematical and Statistical Methods for Actuarial Sciences and Finance Pdf/ePub eBook Author: Cira Perna,Marilena Sibillo
Editor: Springer
ISBN: 3319050141
FileSize: 1215kb
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Mathematical and Statistical Methods for Actuarial Sciences and Finance by Cira Perna,Marilena Sibillo Summary

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field and provides interesting scientific products in theoretical models and practical applications, as well as in scientific discussion of problems of national and international interest. This work reflects the results discussed at the biennial conference on Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.

Quantitative and Statistical Approaches to Geography

Quantitative and Statistical Approaches to Geography Pdf/ePub eBook Author: John A. Matthews
Editor: Elsevier
ISBN: 1483278808
FileSize: 1438kb
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Quantitative and Statistical Approaches to Geography by John A. Matthews Summary

Quantitative and Statistical Approaches to Geography: A Practical Manual is a practical introduction to some quantitative and statistical techniques of use to geographers and related scientists. This book is composed of 15 chapters, each begins with an outline of the purpose and necessary mechanics of a technique or group of techniques and is concluded with exercises and the particular approach adopted. These exercises aim to enhance student's ability to use the techniques as part of the process by which sound judgments are made according to scientific standards while tackling complex problems. After a brief introduction to the principles of quantitative and statistical geography, this book goes on dealing with the topics of measures of central tendency; probability statements and maps; the problem of time-dependence, time-series analysis, non-normality, and data transformations; and the elements of sampling methodology. Other chapters cover the confidence intervals and estimation from samples, statistical hypothesis testing, analysis of contingency tests, and non-parametric tests for independent and dependent samples. The final chapters consider the evaluation of correlation coefficients, regression prediction, and choice and limitations of statistical techniques. This book is of value to undergraduate geography students.

Quantitative Geography

Quantitative Geography Pdf/ePub eBook Author: Richard Harris
Editor: SAGE
ISBN: 1473933390
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Quantitative Geography by Richard Harris Summary

Numerical data are everywhere. Charts and statistics appear not just in geography journals but also in the media, in public policy, and in business and commerce too. To engage with quantitative geography, we must engage with the quantitative methods used to collect, analyse, present and interpret these data. Quantitative Geography: The Basics is the perfect introduction for undergraduates beginning any quantitative methods course. Written in short, user-friendly chapters with full-colour diagrams, the book guides the reader through a wide range of topics from the basic to the more advanced, including: Statistics Maths Graphics Models Mapping and GIS R Closely aligned with the Q-Step quantitative social science programme, Quantitative Geography: The Basics is the ideal starting point for understanding and exploring this fundamental area of Geography.

Handbook of Statistical Methods for Randomized Controlled Trials

Handbook of Statistical Methods for Randomized Controlled Trials Pdf/ePub eBook Author: KyungMann Kim,Frank Bretz,Ying Kuen K. Cheung,Lisa V. Hampson
Editor: CRC Press
ISBN: 1498714641
FileSize: 1547kb
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Handbook of Statistical Methods for Randomized Controlled Trials by KyungMann Kim,Frank Bretz,Ying Kuen K. Cheung,Lisa V. Hampson Summary

Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes.

The Routledge Handbook of Research Methods for Social-Ecological Systems

The Routledge Handbook of Research Methods for Social-Ecological Systems Pdf/ePub eBook Author: Reinette Biggs,Alta de Vos,Rika Preiser,Hayley Clements,Kristine Maciejewski,Maja Schlüter
Editor: Routledge
ISBN: 1000401510
FileSize: 1555kb
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The Routledge Handbook of Research Methods for Social-Ecological Systems by Reinette Biggs,Alta de Vos,Rika Preiser,Hayley Clements,Kristine Maciejewski,Maja Schlüter Summary

The Routledge Handbook of Research Methods for Social-Ecological Systems provides a synthetic guide to the range of methods that can be employed in social-ecological systems (SES) research. The book is primarily targeted at graduate students, lecturers and researchers working on SES, and has been written in a style that is accessible to readers entering the field from a variety of different disciplinary backgrounds. Each chapter discusses the types of SES questions to which the particular methods are suited and the potential resources and skills required for their implementation, and provides practical examples of the application of the methods. In addition, the book contains a conceptual and practical introduction to SES research, a discussion of key gaps and frontiers in SES research methods, and a glossary of key terms in SES research. Contributions from 97 different authors, situated at SES research hubs in 16 countries around the world, including South Africa, Sweden, Germany and Australia, bring a wealth of expertise and experience to this book. The first book to provide a guide and introduction specifically focused on methods for studying SES, this book will be of great interest to students and scholars of sustainability science, environmental management, global environmental change studies and environmental governance. The book will also be of interest to upper-level undergraduates and professionals working at the science–policy interface in the environmental arena.

Statistical Analysis Handbook

Statistical Analysis Handbook Pdf/ePub eBook Author: Dr Michael John de Smith
Editor: The Winchelsea Press
ISBN: 1912556081
FileSize: 1007kb
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Statistical Analysis Handbook by Dr Michael John de Smith Summary

A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools.

Statistics for Spatial Data

Statistics for Spatial Data Pdf/ePub eBook Author: Noel Cressie
Editor: John Wiley & Sons
ISBN: 1119115183
FileSize: 830kb
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Statistics for Spatial Data by Noel Cressie Summary

The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical Reviews as an "excellent book which will become a basic reference." This paper-back edition of the 1993 edition, is designed to meet the many technological challenges facing the scientist and engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial statistical models can be used to solve important problems in a host of areas in science and engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical image analysis and remote sensing Computational aspects of model fitting Application of models to disease mapping Designed to accommodate the practical needs of the professional, it features a unified and common notation for its subject as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed) and over 1,000 references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.

Federal Statistics, Multiple Data Sources, and Privacy Protection

Federal Statistics, Multiple Data Sources, and Privacy Protection Pdf/ePub eBook Author: National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods
Editor: National Academies Press
ISBN: 0309465400
FileSize: 1577kb
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Federal Statistics, Multiple Data Sources, and Privacy Protection by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods Summary

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.

Statistical Methods in Water Resources

Statistical Methods in Water Resources Pdf/ePub eBook Author: D.R. Helsel,R.M. Hirsch
Editor: Elsevier
ISBN: 9780080875088
FileSize: 489kb
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Statistical Methods in Water Resources by D.R. Helsel,R.M. Hirsch Summary

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Data Analysis and Statistics for Geography, Environmental Science, and Engineering Pdf/ePub eBook Author: Miguel F. Acevedo
Editor: CRC Press
ISBN: 1466592214
FileSize: 558kb
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Data Analysis and Statistics for Geography, Environmental Science, and Engineering by Miguel F. Acevedo 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 sustain

Understanding Economic Statistics: An OECD Perspective

Understanding Economic Statistics: An OECD Perspective Pdf/ePub eBook Author: OECD
Editor: OECD Publishing
ISBN: 9264046984
FileSize: 1650kb
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Understanding Economic Statistics: An OECD Perspective by OECD Summary

Drawing on OECD statistics in particular, ‘Understanding Economic Statistics: an OECD perspective' shows readers how to use statistics to understand the world economy. It gives an overview of the history, key concepts and the main providers of economic statistics.

Bayesian Data Analysis, Third Edition

Bayesian Data Analysis, Third Edition Pdf/ePub eBook Author: Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin
Editor: CRC Press
ISBN: 1439898200
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Bayesian Data Analysis, Third Edition by Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin Summary

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Creative Methods for Human Geographers

Creative Methods for Human Geographers Pdf/ePub eBook Author: Nadia von Benzon,Mark Holton,Catherine Wilkinson,Samantha Wilkinson
Editor: SAGE
ISBN: 1529738156
FileSize: 1840kb
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Creative Methods for Human Geographers by Nadia von Benzon,Mark Holton,Catherine Wilkinson,Samantha Wilkinson Summary

Introducing a broad range of innovative and creative qualitative methods, this accessible book shows you how to use them in research project while providing straightforward advice on how to approach every step of the process, from planning and organisation to writing up and disseminating research. It offers: Demonstration of creative methods using both primary or secondary data. Practical guidance on overcoming common hurdles, such as getting ethical clearance and conducting a risk assessment. Encouragement to reflect critically on the processes involved in research. The authors provide a complete toolkit for conducting research in geography, while ensuring the most cutting-edge methods are unintimidating to the reader.

Geocomputation with R

Geocomputation with R Pdf/ePub eBook Author: Robin Lovelace,Jakub Nowosad,Jannes Muenchow
Editor: CRC Press
ISBN: 1351396900
FileSize: 556kb
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Geocomputation with R by Robin Lovelace,Jakub Nowosad,Jannes Muenchow Summary

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Think Stats

Think Stats Pdf/ePub eBook Author: Allen B. Downey
Editor: \"O\'Reilly Media, Inc.\"
ISBN: 1491907363
FileSize: 1384kb
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Think Stats by Allen B. Downey Summary

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Business Research Methods for Chinese Students

Business Research Methods for Chinese Students Pdf/ePub eBook Author: Huiping Xian,Yue Meng-Lewis
Editor: SAGE
ISBN: 1526448971
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Business Research Methods for Chinese Students by Huiping Xian,Yue Meng-Lewis Summary

Written by Chinese authors who having both successfully completed Masters degrees and PhDs and become lecturers at UK universities, are equipped to provide Chinese students with straightforward guidance to help overcome the cultural and language difficulties they are confronted with, and to support them in their undertaking of the research methods section of their dissertations. The book comprehensively covers both the theory and practice and includes a number of features to support learning including: Chinese translations of key concepts and definitions Tips about how to use different methods in the Chinese context Clear definitions of key terms Short illustrative examples A list of useful resources about Chinese research The book also features examples of Chinese research from the authors’ own work and from top journals to illustrate how the methods can be applied in the Chinese context. Suitable reading for undergraduate and postgraduate students across all business and management disciplines.