An Introduction to Statistical Problem Solving in Geography

Author: J. Chapman McGrew, Jr.
Publisher: Waveland Press
ISBN: 1478609621
Format: PDF, Kindle
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Written for undergraduate geography majors and entry-level graduate students with limited backgrounds in statistical analysis and methods, McGrew and Monroe provide a comprehensive and understandable introduction to statistical methods in a problem-solving framework. Engaging examples and problems are drawn from a variety of topical areas in both human and physical geography and are fully integrated into the text. Without compromising statistical rigor or oversimplifying, the authors stress the importance of written narratives that explain each statistical technique. After introducing basic statistical concepts and terminology, the authors focus on nonspatial and spatial descriptive statistics. They transition to inferential problem solving, including probability, sampling, and estimation, before delving deeper into inferential statistics for geographic problem solving. The final chapters examine the related techniques of correlation and regression. A list of major goals and objectives is included at the end of each chapter, allowing students to monitor their own progress and mastery of geographic statistical materials. An epilogue, offering over 150 geographic situations, gives students a chance to figure out which statistical technique should be used for a particular situation.

Key Methods in Geography

Author: Nicholas Clifford
Publisher: SAGE
ISBN: 1473908965
Format: PDF, Mobi
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"Practical, accessible, careful and interesting, this...revised volume brings the subject up-to-date and explains, in bite sized chunks, the "how's" and "why's" of modern day geographical study...[It] brings together physical and human approaches again in a new synthesis." - Danny Dorling, Professor of Geography, University of Oxford Key Methods in Geography is the perfect introductory companion, providing an overview of qualitative and quantitative methods for human and physical geography. New to the third edition: 12 new chapters representing emerging themes including online, virtual and digital geographical methods Real-life case study examples Summaries and exercises for each chapter Free online access to full text of Progress in Human Geography and Progress in Physical Geography Progress Reports The teaching of research methods is integral to all geography courses: Key Methods in Geography, 3rd Edition explains all of the key methods with which geography undergraduates must be conversant.

Statistical Methods for Geography

Author: Peter A Rogerson
Publisher: SAGE
ISBN: 1473911109
Format: PDF, ePub, Docs
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How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout. Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module: Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques. Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets. It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.

Reconstructing Quaternary Environments

Author: J. John Lowe
Publisher: Routledge
ISBN: 1317753712
Format: PDF, ePub, Docs
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This third edition of Reconstructing Quaternary Environments has been completely revised and updated to provide a new account of the history and scale of environmental changes during the Quaternary. The evidence is extremely diverse ranging from landforms and sediments to fossil assemblages and geochemical data, and includes new data from terrestrial, marine and ice-core records. Dating methods are described and evaluated, while the principles and practices of Quaternary stratigraphy are also discussed. The volume concludes with a new chapter which considers some of the key questions about the nature, causes and consequences of global climatic and environmental change over a range of temporal scales. This synthesis builds on the methods and approaches described earlier in the book to show how a number of exciting ideas that have emerged over the last two decades are providing new insights into the operation of the global earth-ocean-atmosphere system, and are now central to many areas of contemporary Quaternary research. This comprehensive and dynamic textbook is richly illustrated throughout with full-colour figures and photographs. The book will be of interest to undergraduates, postgraduates and professionals in Earth Science, Environmental Science, Physical Geography, Geology, Botany, Zoology, Ecology, Archaeology and Anthropology

SQL Short Course Database Programming

Author: Chris Fehily
Publisher: Questing Vole Press
ISBN: 1937842339
Format: PDF, ePub
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Get up to speed fast with SQL, the language of databases. Bestselling author Chris Fehily teaches you just the parts of SQL that you need to know. Quick, learn-by-example lessons start with simple data retrieval and sorting, move on to filtering and grouping, and then build to more-advanced topics, including joins, subqueries, views, and transactions. Whether you're an analyst, developer, data scientist, or Microsoft Office user, you'll find straightforward, practical answers. You can download the sample database to follow along with the examples. - Covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access. - Learn the core language for standard SQL, and variations for the most widely used database systems. - Organize your database in terms of the relational model. - Master tables, columns, rows, and keys. - Retrieve, sort, and format data. - Filter the data that you don't want to see. - Convert and manipulate data with SQL's built-in functions and operators. - Use aggregate functions to summarize data. - Create complex SQL statements by using joins, subqueries, constraints, conditional logic, and metadata. - Create, alter, and drop tables, indexes, and views. - Insert, update, delete, and merge data. - Execute transactions to maintain the integrity of your data. - Avoid common pitfalls involving nulls. - Troubleshoot and optimize queries. - Plenty of tips, tricks, and timesavers. - Fully cross-referenced, linked, and searchable. Contents 1. Introduction 2. Database Basics 3. SQL Basics 4. Retrieving Data from a Table 5. Sorting Rows 6. Filtering Rows 7. Combining and Negating Conditions 8. Pattern Matching 9. More Ways to Filter Rows 10. Operators and Functions 11. Working with Functions 12. Evaluating Conditional Values 13. Summarizing Data 14. Grouping Data 15. Joining Tables 16. Working with Joins 17. Subqueries 18. Combining Queries 19. Inserting Rows 20. Updating and Deleting Rows 21. Creating and Changing Tables 22. Indexes 23. Views 24. Transactions A. The Sample Database B. Running SQL Programs C. Data Types

Elementary Statistics for Geographers

Author: James E. Burt
Publisher: Guilford Press
ISBN: 1572304847
Format: PDF
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Introduces the techniques and concepts of statistics in human and physical geography. This book explains not only how to apply quantitative tools but also why and how they work. It helps students gain important skills for utilizing conventional and spatial statistics in their own research, as well as for critically evaluating the work of others.

An Introduction to Statistical Methods and Data Analysis

Author: R. Lyman Ott
Publisher: Cengage Learning
ISBN: 1305465520
Format: PDF
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

MATLAB Recipes for Earth Sciences

Author: Martin Trauth
Publisher: Springer
ISBN: 3662462443
Format: PDF
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MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book’s supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.

Making Sense

Author: Margot Northey
Publisher:
ISBN: 9780199010257
Format: PDF, ePub
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Part of the bestselling Making Sense series, this fifth edition of Making Sense in Engineering and the Technical Sciences is an indispensable research and writing guide for students in any area of the discipline - from electrical and mechanical engineering to systems design and computerscience.