Spatial Data Analysis

With applications in pattern recognition, data compression and numerical analysis, the wavelet transform is a key area of modern mathematics that brings new approaches to the analysis and synthesis of

Richard Krueger offers a rich and valuable discussion of focus group analysis that is sure to become a major guide in future focus group efforts. Analysis of focus group data is different from analysi

Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points such as 'the bridge of the nose' that have biological names as well as geometric locations. This book is the first systematic survey of morphometric methods for landmark data. The methods presented here combine conventional multivariate statistical analysis with themes from plane and solid geometry and from biomathematics to support biological insights into the features of many different organs and organisms. This book will be of value to applied statisticians and geometers, as well as to all biological and biomedical researchers who need quantitative analyses of information from biomedical images.

Joe (statistics, U. of British Columbia) addresses multivariate models, statistical inference, and data analysis for multivariate non- normal response data (such as binary, ordinal, count, extreme val

This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on applicat

Spatial Reasoning for Effective GIS by Joseph K. Berry This incisive and witty book describes the development of geographic technology from maps that simply tell us "Where is what?" to systems that he

LABSIM is a fun and affordable way to design experiments, collect simulated data, and actually do analysis in one easy-to-use software program! Psychological research and statistical analysis take o

Information systems development is not merely a technical intervention but involves social and ethical dilemmas that affect the human, social and organizational domains. To demonstrate this point, the authors conduct a thorough and substantive description and analysis of the conceptual and philosophical underpinnings of systems development. In particular they analyse a number of systems development methodologies including structured methods, prototyping, ETHICS and Soft Systems Methodology to reveal the underlying conceptual and philosophical foundations. The book provides an in-depth analysis of data modelling theory and its links with theories of language and cognition. It offers a framework to describe and analyse different systems development approaches and to explain their strengths and weaknesses. The book is aimed at graduate students taking courses in information systems and data modelling, but will also appeal to information systems managers and professionals for whom the summ

Debate still rages over some of the questions Doreen Massey provoked in the classic first edition of Spatial Divisions of Labor, such as the nature of theory, the importance of contingency and uniquen

The Navier–Stokes equations are a set of nonlinear partial differential equations comprising the fundamental dynamical description of fluid motion. They are applied routinely to problems in engineering, geophysics, astrophysics, and atmospheric science. This book is an introductory physical and mathematical presentation of the Navier–Stokes equations, focusing on unresolved questions of the regularity of solutions in three spatial dimensions, and the relation of these issues to the physical phenomenon of turbulent fluid motion. Intended for graduate students and researchers in applied mathematics and theoretical physics, results and techniques from nonlinear functional analysis are introduced as needed with an eye toward communicating the essential ideas behind the rigorous analyses.

Representation of the visual and spatial properties of our environment is a pivotal requirement of everyday cognition. We can mentally represent the visual form of objects and we can extract informati

Provides a unique review of the major spatial aspects of transport systems, a detailed analysis of transport problems in urban and rural areas, an evaluation of social and environmental impacts, and a

As computerisation in the medical environment has increased, so the advantages of storage and the computer analysis of data from various monitoring and measuring equipment has become well recognised. Most medical monitoring and measurement equipment now supports an RS-232 serial interface, allowing for direct computer access both in terms of data analysis and equipment control. This book describes the techniques used for interfacing a PC to a range of medical equipment used internationally in the areas of anaesthesia, intensive care, surgery, respiratory medicine and physiology. Part One addresses the serial interface, including the RS-232 standard, transmission of data and an introduction to serial-interface programming using Microsoft QuickBASIC. Part Two looks at electrical safety, the use of Kermit and data analysis. Part Three considers the practical aspects of interfacing a PC to a wide range of equipment, and includes example programs for collecting data and in some cases for co

"[A] valuable addition[s] to the stock of material available for fledgling social scientists. Lewis-Bec's book is best for early nurture. . . " --Eric Tanenbaum in ESRC Data Archive Bulletin "This

Presents techniques for making data from the social sciences accessible to nontechnical audiences. Discusses insights from visual perception research relating to graphing data, and explores graphs for

The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing an introduction to the subject and to its applications. One of the themes of the book is the demonstration of how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of lack of a unique asymptotic setting in spatial problems. Throughout, the author discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarising of images. Thus, the book will find wide appeal

Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models tha

The teaching of qualitative analysis in the social sciences is rarely undertaken in a structured way. This handbook is designed to remedy that and to present students and researchers with a systematic method for interpreting qualitative data', whether derived from interviews, field notes, or documentary materials. The special emphasis of the book is on how to develop theory through qualitative analysis. The reader is provided with the tools for doing qualitative analysis, such as codes, memos, memo sequences, theoretical sampling and comparative analysis, and diagrams, all of which are abundantly illustrated by actual examples drawn from the author's own varied qualitative research and research consultations, as well as from his research seminars. Many of the procedural discussions are concluded with rules of thumb that can usefully guide the researchers' analytic operations. The difficulties that beginners encounter when doing qualitative analysis and the kinds of persistent questions

This book provides an introduction to an important approach to the study of voting and elections: the spatial theory of voting. In contrast to the social-psychological approach to studying voting behaviour, the spatial theory of voting is premised on the idea of self-interested choice. Voters cast votes on the basis of their evaluation of the candidates or policy alternatives competing for their vote. Candidates fashion their appeals to the voters in an effort to win votes. The spatial theory provides explicit definitions for these behavioural assumptions to determines the form that self-interested behaviour will take. The consequences of this behaviour for the type of candidate or policy that voters will select is the major focus of the theory. There is a twofold purpose to this work. The first is to provide an elementary but rigourous introduction to an important body of political science research. The second is to design and test a spatial theory of elections that provides insights

The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are

This book is targeted for those who need to learn the marketing research process and basic data analysis techniques. This is the first book on the market that offers a software add-in (XL Data Analyst

The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software

Dynamic stability analysis enables the determination of unstable regions, which adversely affect a structure's durability. Unlike conventional cable-strut frameworks, tensegrity structures are characterized by a system of internal forces that hold the elements in stable equilibrium, so the initial prestress crucially affects the distribution of unstable regions. This book presents both theoretical background and examples to make a full qualitative and quantitative assessment of these structures possible. First, a geometrically non-linear model and the methods used to evaluate the behavior of tensegrity structures are explained, before a broad spectrum of different planar and spatial design solutions is considered. The book moves step-by-step from the simplest two-dimensional structure, for which solutions can be presented in explicit form, to more complex tensegrity structures such as domes, towers, and plates.

Much of the statistical information currently produced by federal statistical agencies - information about economic, social, and physical well-being that is essential for the functioning of modern society - comes from sample surveys. In recent years, there has been a proliferation of data from other sources, including data collected by government agencies while administering programs, satellite and sensor data, private-sector data such as electronic health records and credit card transaction data, and massive amounts of data available on the internet. How can these data sources be used to enhance the information currently collected on surveys, and to provide new frontiers for producing information and statistics to benefit American society? Toward a 21st Century National Data Infrastructure: Enhancing Survey Programs by Using Multiple Data Sources, the second report in a series funded by the National Science Foundation, discusses how use of multiple data sources can improve the quality

With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.March of the Mini Beasts (The DATA Set #1)Don't Disturb the Dinosaurs (The DATA Set #2)The Sky Is Falling (The DATA Set #3)Robots Rule the School (The DATA Set #4)A Case of the Clones (The DATA Set #5)Invasion of the Insects (The DATA Set #6)Out of Remote Control (The DATA Set #7)Down the Brain Drain (The DATA Set #8)S.O.S. From Outer Space (The DATA Set #9)Revenge of Dr. von Naysayer (The DATA Set #10)A Little Snow Must Fall (The DATA Set #11)

This commentary covers all topics and critical aspects elicited by the new European General Data Protection Regulation and its interpretation. The commentary focuses on the regulation itself, including cross-references to further provisions (eg the Police and Criminal Justice Data Protection Directive, the E-Privacy-Directive or the former Data Protection Directive 95/46/EC).Article by article the purpose of a provision is classified, its background, function and structure analysed and its content interpreted. The commentary provides an independent view of all topics, presenting both an overview and specific interpretation that provide far-reaching arguments.The editors and authors are outstanding experts in the field of data protection law well known for their practical as well as structured and thorough approach to data protection issues. They offer suitable solutions and sound arguments especially for international companies, legal councils and corporate lawyers as well as data prot

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

雲計算作為一種數據解決方案已被廣泛應用，越來越多的企業已經或者正在將本地IT系統升級到雲端，這其中就包括將本地Analysis Services遷移到Azure Analysis Services的過程。Azure Analysis Services是基於微軟雲的PaaS 服務，也是未來大數據的雲端化發展方向。本書介紹本地Analysis Services 與Azure Analysis Services 的安裝、開發、部署、處理以及增強開發等內容，同時還介紹Power BI、SQL Server Studio Management、SQL Server、Visual Studio 2019 等協同工具的使用方法，力求幫助讀者找到企業級BI 遇到的系統性能瓶頸，並提供行之有效的解決方案。最後作者介紹Azure Analysis Services 的實際案例和相關的Azure Data Services作為本書延展學習內容。本書從理論出發，著手實踐，適合IT人員、DT人員作為參考資料使用，也適合希望完善與提高Power BI和微軟數據平臺技術的廣大讀者閱讀。

One of many natural sign languages in use around the world, British Sign Language (BSL) operates as a fully-fledged semiotic system in the visual-spatial modality, through the simultaneous use of embodied articulators. Filling a gap in current research, this book investigates visual-spatial communications from a functional perspective.Presenting a description and analysis of BSL from the perspective of Hallidayan Systemic Functional Linguistics, Luke A. Rudge explores how BSL users make meaning from three different yet interrelated perspectives:- How exchanges of information are managed at a social level (the interpersonal metafunction)- How experience is encoded in the language (the experiential metafunction)- How communications are organised into coherent parts and wholes (the textual metafunction) Examining these perspectives both separately and together, Exploring British Sign Language via Systemic Functional Linguistics places them within the context of current observations in s

How to use data as a tool for empowerment rather than oppression.Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

Written by four leading experts, this book provides a comprehensive overview of sociolinguistic variation and linguistic change in Arabic. It introduces sociolinguistic theory, methods, and data step-by-step, using accessible language and extensive examples throughout. Topics covered include sociolinguistic methodology, social variables, language change, spatial variation, and contact and diffusion. Each topic is explained and illustrated using empirical data drawn from a wide array of Arabic-speaking communities in the Middle East and North Africa, as well as other parts of the world where Arabic is or was spoken, to provide a rich resource of individual dialects, as well as a comparative view of variation in Arabic. Each chapter also contains annotated suggestions for further reading and elaborate exercises. It is an essential resource for students studying Arabic in its social context, as well as anyone wishing to expand their knowledge of variation in Arabic.

Written by four leading experts, this book provides a comprehensive overview of sociolinguistic variation and linguistic change in Arabic. It introduces sociolinguistic theory, methods, and data step-by-step, using accessible language and extensive examples throughout. Topics covered include sociolinguistic methodology, social variables, language change, spatial variation, and contact and diffusion. Each topic is explained and illustrated using empirical data drawn from a wide array of Arabic-speaking communities in the Middle East and North Africa, as well as other parts of the world where Arabic is or was spoken, to provide a rich resource of individual dialects, as well as a comparative view of variation in Arabic. Each chapter also contains annotated suggestions for further reading and elaborate exercises. It is an essential resource for students studying Arabic in its social context, as well as anyone wishing to expand their knowledge of variation in Arabic.

1 Introduction2 Representatives2.1 Representative of data sets with one feature2.1.1 Best LS-representativ2.1.2 Best 1-representative2.1.3 Best representative of weighted data2.1.4 Bregman divergences2.2 Representative of data sets with two features2.2.1 Fermat-Torricelli-Weber problem2.2.2 Centroid of a set in the plane2.2.3 Median of a set in the plane 2.2.4 Geometric median of a set in the plane2.3 Representative of data sets with several features2.3.1 Representative of weighted data2.4 Representative of periodic data2.4.1 Representative of data on the unit circle2.4.2 Burn diagram3 Data clustering3.1 Optimal k-partition3.1.1 Minimal distance principle and Voronoi diagram3.1.2 k-means algorithm3.2 Clustering data with one feature3.2.1 Application of the LS-distance-like function3.2.2 The dual problem3.2.3 Least absolute deviation principle3.2.4 Clustering weighted data3.3 Clustering data with two or several features3.3.1 Least squares principle3.3.2 The dual problem3.3.3 Least absol

Health research around the world relies on access to data, and much of the most valuable, reliable, and comprehensive data collections are held by governments. These collections, which contain data on whole populations, are a powerful tool in the hands of researchers, especially when they are linked and analyzed, and can help to address “wicked problems” in health and emerging global threats such as COVID-19. At the same time, these data collections contain sensitive information that must only be used in ways that respect the values, interests, and rights of individuals and their communities. Sharing Linked Data for Health Research provides a template for allowing research access to government data collections in a regulatory environment designed to build social license while supporting the research enterprise.

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogen

Now in its 14th edition, Statistics for Business and Economics by McClave, Benson, and Sincich places statistics in the context of contemporary business. The text places emphasis on inference, extensively covering data collection and analysis needed to evaluate the results of statistical studies and make good decisions. Students are encouraged to develop statistical thinking and to understand both the assessment of credibility and the value of data inferences.Based on the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education(GAISE) Project, the text emphasizes statistical literacy, fosters active learning in the classroom, discusses intuitive probability, stresses conceptual understanding over mere knowledge of procedures, and employs technology to develop this understanding and to analyze data.

An integrated introduction to data visualization, strategic communication, and delivery best practices.Persuading with Data provides an integrated instructional guide to data visualization, strategic communication, and delivery best practices. Most books on data visualization focus on creating good graphs. This is the first book that combines both explanatory visualization and communication strategy, showing how to use visuals to create effective communications that convince an audience to accept and act on the data. In four parts that proceed from macro to micro, the book explains how our brains make sense of graphs; how to design effective graphs and slides that support your ideas; how to organize those ideas into a compelling presentation; and how to deliver and defend data to an audience. Persuading with Data is for anyone who has to explain analytical results to others. It synthesizes a wide range of skills needed by modern data professionals, providing a complete toolkit for cr

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual a