Spatial Data Analysis

Published annually, this 27th edition brings together a unique combination of the latest data on, and detailed analysis of, a vast region. Scrupulously updated by Europa’s experienced editors, the vol

This will be a comprehensive multi-contributed reference work that will detail the latest developments in spatial, temporal, and functional cardiac imaging. It will include several prominent imaging m

This book investigates the determinants of bank capital structure and procyclical behavior of leverage. A panel data analysis is developed to find out the relation between different types of leverage

This book offers fundamental information on the analysis and synthesis of continuous and sampled data control systems. It includes all the required preliminary materials (from mathematics, signals and

Inspired by the spatial turn in the humanities and social sciences, Mapping Warsaw is an interdisciplinary study that combines urban studies, cinema studies, cultural studies, history, literature, and

Inspired by the spatial turn in the humanities and social sciences, Mapping Warsaw is an interdisciplinary study that combines urban studies, cinema studies, cultural studies, history, literature, and

"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data f

Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move f

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data stru

This book will focus on the different aspects of handling big data in healthcare. It will showcase the current state-of-the-art technology used for storing health records and health data models. It wi

This book provides an in-depth analysis of public opinion patterns among Muslims, particularly in the Arab world. On the basis of data from the World Values Survey, the Arab Barometer Project and the

The bestselling Excel book on the market — now in a new edition covering the latest version of Excel! Excel is the spreadsheet and data analysis tool of choice for people across the globe who ut

This book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis, and principal components analysis, before applying these techniques to an increasingly common data resource: the description of organismal forms by sets of landmark point configurations. For each data set, multiple analyses are interpreted and compared for insight into the relation between the arithmetic of the measurements and the rhetoric of the subsequent biological explanations. The text includes examples that range broadly over growth, evolution, and disease. For graduate students and researchers alike, this book offers a unique consideration of the scientific context surrounding the analysis of form in today's biosciences.

To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they ho

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

Combine two typically separate sources of data—behavioral quantitative data and usability testing qualitative data—into a powerful single tool that helps improve your organization’s website by increas

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and

This unique guide brings together all the skills you need to get started with data science -- one of the world’s fastest growing fields! Leading data science instructors Michael Freeman and Joel

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response

Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn ab

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics

The workshop explored the indicator methodology and related issues on data and information sources, analysis and reporting – including the use of an e-learning platform – and identified capacity devel

This report provides information on the results of a garrison-level analysis of survey data from the RAND Arroyo Center’s 2014 formal needs assessment survey of active component soldiers and an

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

Our experience of the world is influenced by numerous spatial biases, most of which influence us without our being aware of them. These biases are related to illusions and asymmetries in our perception of space, relationships between space and other qualities, dynamics of moving objects, dynamics of scene configuration, and dynamics related to perception and action. Consideration of these biases provides insight into how we perceive, remember, and navigate space, as well as how we interact with objects and people in space. This volume introduces and reviews numerous spatial biases, and provides descriptions and examples of each bias. The contributors discuss historical and current theories for many biases, and for some biases, provide new explanatory theories. Providing a 'one-stop shop' for information on such a key aspect of our experience in the world, this volume will interest anyone curious about our understanding of space.

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemi

The Little Quick Fix on how to Identify Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively examples it shows students what variables a

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile

This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sect

Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malw

This book presents the results of seismic data analysis and interpretation based on nearly one million seismic events. This seismicity was induced by the caving process in four copper mines, each loca

As a legacy of the socialist state with central planning, Five-Year Planning (FYP) is very important in regulating socio-economic and spatial development even in post-reform China. This book tries to

This open access book offers a critical perspective on intra-European mobility and migration by using new empirical data and theoretical discussions. It develops a theoretical and empirical analysis o

Inspire the data discussion! Data is a valuable resource for improving education. Unfortunately, many school data teams struggle to make sense of new and often overwhelming data. What Does Your

The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book

Includes questions and answers on Exploratory Analysis, Collecting and Producing Data, Probability, and Statistical Inference. Don't just learn why your answer is correct?learn the rationale behind wh

This volume provides in-depth descriptions and discussion of clinical trial designs based on novel data analysis of high-quality trials for 11 different neurological conditions in order to ultimately

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big

Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidm