Spatial Data Analysis

This book will firstly help readers establish the research parameters of land use change and then provide a set of statistical models to effectively process land use change data. Analysis of the resul

Property testing is concerned with the design of super-fast algorithms for the structural analysis of large quantities of data. The aim is to unveil global features of the data, such as determining whether the data has a particular property or estimating global parameters. Remarkably, it is possible for decisions to be made by accessing only a small portion of the data. Property testing focuses on properties and parameters that go beyond simple statistics. This book provides an extensive and authoritative introduction to property testing. It provides a wide range of algorithmic techniques for the design and analysis of tests for algebraic properties, properties of Boolean functions, graph properties, and properties of distributions.

This book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a

This volume suggests a new way of doing global history. Instead of offering a sweeping and generalizing overview of the past, we propose a ‘micro-spatial’ approach, combining micro-history with the co

Based on a course taught by the author, this book combines the theoretical underpinnings of statistics with the practical analysis of Earth sciences data using MATLAB. The book is organized to introduce the underlying concepts, and then extends these to the data, covering methods that are most applicable to Earth sciences. Topics include classical parametric estimation and hypothesis testing, and more advanced least squares-based, nonparametric, and resampling estimators. Multivariate data analysis, not often encountered in introductory texts, is presented later in the book, and compositional data is treated at the end. Datasets and bespoke MATLAB scripts used in the book are available online, as well as additional datasets and suggested questions for use by instructors. Aimed at entering graduate students and practicing researchers in the Earth and ocean sciences, this book is ideal for those who want to learn how to analyse data using MATLAB in a statistically-rigorous manner.

The International Encyclopedia of Communication Research Methods covers all communication research methods, from data collection to data analysis, from qualitative to quantitative, and from classical

This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electr

Now in paperback format, this is the first work to examine data privacy laws across Asia, covering all 26 countries and separate jurisdictions, and with in-depth analysis of the 14 which have speciali

How can how security personnel use the data they gather to harden networks and defend systems? With this practical book, you’ll learn how to use tools to collect data, make defensible security judgeme

The field of urban economics is built on an analysis of housing prices, land rents, housing consumption, spatial form, and other aspects of urban residential structure. Drawing on the journal publicat

The field of urban economics is built on an analysis of housing prices, land rents, housing consumption, spatial form, and other aspects of urban residential structure. Drawing on the journal publicat

This is an authoritative and practical guide to collecting, analysing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor i

This is an authoritative and practical guide to analysing business data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s busine

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for

Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current p

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.

Are you looking for ways to differentiate your instruction to meet the needs of gifted visual-spatial learners? You've found it in Visual-Spatial Learners: Differentiation Strategies for Creating a Su

Spatial Education examines public and professional conceptions of the relationships between thinking about spatial attributes and active engagement in spatially-related constructions and designs. Even

This book applies regional analysis to the challenges facing global investment agencies seeking to enhance trade in lagging regions. It shows how spatial interaction and agent-based modelling can be u

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This is a publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows pr

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This is a publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows pr

This is a publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows pr

This publication provides business valuation professionals with 15 years of historical data that they can use to support their analysis of a company's risk and cost of capital. The data allows practit

This title meets a great demand for training in spatial analysis tools accessible to a wide audience. Landscape ecology continues to grow as an exciting discipline with much to offer for solving press

Recent developments in computer communications and networks have enabled the deployment of exciting new areas such as Internet of Things and collaborative big data analysis. The design and implementat

An exploration of the benefits of cloud computing in geoscience research and applications as well as future research directions, Spatial Cloud Computing: A Practical Approach discusses the essential e

This revised and expanded edition reflects the developments and new directions in the field since the publication of the first edition. In particular, sections on nonstationary panel data analysis and