Applied Dimensional Analysis and Modeling

Applied Dimensional Analysis and Modeling
Author: Thomas Szirtes
Publisher: Butterworth-Heinemann
Total Pages: 853
Release: 2007-04-27
Genre: Technology & Engineering
ISBN: 0080555454

Applied Dimensional Analysis and Modeling provides the full mathematical background and step-by-step procedures for employing dimensional analyses, along with a wide range of applications to problems in engineering and applied science, such as fluid dynamics, heat flow, electromagnetics, astronomy and economics. This new edition offers additional worked-out examples in mechanics, physics, geometry, hydrodynamics, and biometry. Covers 4 essential aspects and applications: principal characteristics of dimensional systems, applications of dimensional techniques in engineering, mathematics and geometry, applications in biosciences, biometry and economics, applications in astronomy and physics Offers more than 250 worked-out examples and problems with solutions Provides detailed descriptions of techniques of both dimensional analysis and dimensional modeling

Data Theory and Dimensional Analysis

Data Theory and Dimensional Analysis
Author: William G. Jacoby
Publisher: SAGE
Total Pages: 100
Release: 1991
Genre: Mathematics
ISBN: 9780803941786

For many readers, data theory is probably unfamiliar. Data isn't usually the subject matter of theory in and of itself. However, in this volume, William Jacoby introduces a theory of data idea. It examines how real world observations are transformed into something to be analyzed that is, data. Jacoby explores some of the basic ideas of data theory, and considers their implications for research strategies in the social sciences. "Like others in the series, it is reassuringly slim. It is intended for a general social science readership and is a worthwhile read even for experienced data analysts. since it draws attention not only to often overlooked assumptions, but also to often ignored analysis possibilities." --Telephone Surveys "On the whole, this book contains a lot of useful information." --Journal of Classification

Geography and Geographers

Geography and Geographers
Author: Ron Johnston
Publisher: Routledge
Total Pages: 893
Release: 2015-12-22
Genre: Science
ISBN: 1134065949

Geography and Geographers continues to be the most comprehensive and up-to-date overview of human geography available. It provides a survey of the major debates, key thinkers and schools of thought in the English-speaking world, setting them within the context of economic, social, cultural, political and intellectual changes. It is essential reading for all undergraduate geography students. It draws on a wide reading of the geographical literature and addresses the ways geography and its history are understood and the debates among geographers regarding what the discipline should study and how. This extensively updated seventh edition offers a thoroughly contemporary perspective on human geography for new and more experienced students alike.

Similarity and Modeling in Science and Engineering

Similarity and Modeling in Science and Engineering
Author: Josef Kuneš
Publisher: Springer Science & Business Media
Total Pages: 451
Release: 2012-04-07
Genre: Mathematics
ISBN: 1907343776

The present text sets itself in relief to other titles on the subject in that it addresses the means and methodologies versus a narrow specific-task oriented approach. Concepts and their developments which evolved to meet the changing needs of applications are addressed. This approach provides the reader with a general tool-box to apply to their specific needs. Two important tools are presented: dimensional analysis and the similarity analysis methods. The fundamental point of view, enabling one to sort all models, is that of information flux between a model and an original expressed by the similarity and abstraction Each chapter includes original examples and applications. In this respect, the models can be divided into several groups. The following models are dealt with separately by chapter; mathematical and physical models, physical analogues, deterministic, stochastic, and cybernetic computer models. The mathematical models are divided into asymptotic and phenomenological models. The phenomenological models, which can also be called experimental, are usually the result of an experiment on an complex object or process. The variable dimensionless quantities contain information about the real state of boundary conditions, parameter (non-linearity) changes, and other factors. With satisfactory measurement accuracy and experimental strategy, such models are highly credible and can be used, for example in control systems.

Introductory Spatial Analysis

Introductory Spatial Analysis
Author: David Unwin
Publisher: Taylor & Francis
Total Pages: 227
Release: 2024-06-29
Genre: Social Science
ISBN: 1040050883

First published in 1981, Introductory Spatial Analysis uses ideas from dimensional analysis and stochastic process theory to provide a consistent, logical framework for map analysis. ‘Geography is about maps’, so the saying goes, yet there is no other textbook for geography students that combines the discussion of maps with a treatment of quantitative methods of map analysis. This book differs from most other quantitative or cartographic geography texts in three respects: first it is a geography, not a statistics book, and therefore problems are examined by looking at the types of data used and the varieties of maps drawn and then at the analytical procedures that may be used to detect significant spatial patterns; second, no attempt is made to introduce tests that treat data without reference to their spatial location; and third, no advice is offered on specifically cartographic questions of map drawing and design. David Unwin’s text will serve as a valuable introduction to the techniques of spatial analysis that are so important in contemporary geographical study.

Thematic Cartography, Thematic Cartography and Transformations

Thematic Cartography, Thematic Cartography and Transformations
Author: Colette Cauvin
Publisher: John Wiley & Sons
Total Pages: 503
Release: 2013-03-27
Genre: Science
ISBN: 1118619498

A thematic map is a map that illustrates more than simply geographical relationships or locations, but rather also portrays themes, patterns, or data relating to physical, social, medical, economic, political, or any other aspect of a region or location. Examples include maps that show variations of population density, climate data, wealth, voting intentions, or life expectancy with geographical location. These tools have become central to the work of scientists, practitioners, and students in nearly every field, from epidemiology to political science, and are familiar to members of the public as a common means of expressing complicated and multivariate information in easily understood graphical formats. This set of three volumes on Thematic Cartography considers maps as information constructs resulting from a number of successive information transformations and the products of decision stages, integrated into a logical reasoning and the order of those choices. It thereby provides a thorough understanding of the theoretical basis for thematic mapping, as well as the means of applying the various techniques and methodologies in order to create a desired analytical presentation. This first volume introduces the basics of thematic cartography. The authors present the transformations necessary to the production – using a scientific approach – of any thematic map. Four stages are detailed: from geographic entities to cartographic objects; the [XY] transformation; the [XYZ] cartographic transformations; and the semiotic transformation. Technical aspects giving map-reading keys are also included.

An Introduction to Statistical Problem Solving in Geography

An Introduction to Statistical Problem Solving in Geography
Author: J. Chapman McGrew, Jr.
Publisher: Waveland Press
Total Pages: 266
Release: 2009-04-22
Genre: Science
ISBN: 1478609621

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.