Spatial Data Analysis

Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for stat

Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for stat

This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and pl

A good data scientist knows how to do something really well, but a great data scientist can do "something of everything." From raw data all the way to shining in front of C-level executives,

What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the ver

This book is a course to help beginning data scientists become productive members of data science and analytics teams, and to help engineers, analysts, and data scientists work with big data in an agi

Core Data is intricate, powerful, and necessary. Discover the powerful capabilities integrated into Core Data, and how to use Core Data in your iOS and OS X projects. All examples are current for OS X

A systematic introduction to the theory, development and latest research results of radar data processing technology• Presents both classical theory and development methods of radar data processing• P

This book is a reference for anyone using SAS to analyse complex survey data. It covers all the nuances of the methodology, with detailed worked examples, and guidance on how to implement all the meth

This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design d

Big Data and Big Analytics are a big deal today. Big Data is playing a pivotal role in many companies' strategic decision-making. Companies are striving to acquire a 'data advantage' over rivals. Dat

Looks at the latest Internet technological innovations, including the expansion of cloud computing, the use of big data for analysis, the spread of the semantic web, and the challenges of cybersecurit

To explore how to conduct research using social media, contributors from a wide range of fields--among them computer engineering, economics, and education--discuss modeling with social data, analytics

With this comprehensive and accessible introduction to the field, you will gain all the skills and knowledge needed to work with current and future audio, speech, and hearing processing technologies. Topics covered include mobile telephony, human-computer interfacing through speech, medical applications of speech and hearing technology, electronic music, audio compression and reproduction, big data audio systems and the analysis of sounds in the environment. All of this is supported by numerous practical illustrations, exercises, and hands-on MATLAB® examples on topics as diverse as psychoacoustics (including some auditory illusions), voice changers, speech compression, signal analysis and visualisation, stereo processing, low-frequency ultrasonic scanning, and machine learning techniques for big data. With its pragmatic and application driven focus, and concise explanations, this is an essential resource for anyone who wants to rapidly gain a practical understanding of speech and audi

This book focuses on recently developed High Throughput Screening (HTS) assay protocols, many involved in the ToxCast and/or Tox21 initiatives, and the relevant HTS data analysis techniques. Divided i

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca

This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and

This monograph deals with the mathematics of extending given partial data-sets obtained from experiments; Experimentalists frequently gather spectral data when the observed data is limited, e.g., by t

This book addresses the influences of planning cultures and histories on the temporal evolution of planning systems and spatial development. As well as providing an international comparative perspecti

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be availab

This book aims to identify ways of overcoming the limitations of the collaborative and deliberative traditions in understanding participatory spatial planning. Three theoretical models that offer diff

Drawing on an original research survey, this study uses data from New Zealand but also includes analysis of literature, coroners’ recommendations, Coroners’ Court findings, and appellate litigation fr

While urban films often reinforce spatial stereotypes, they can also produce a resistant reading that helps transgress spatial boundaries, especially in in urban contexts where spatial inequalities an

What is the relationship between how cities work and what cities mean? Spatial Cultures: Towards a new social morphology of cities past and present announces an innovative research agenda for urban s

Regression analysis is the primary technique that researchers in the social sciences use to analyze quantitative data. This statistical method is the subject of the second semester statistics course i

SPSS is the international standard software package for data analysis in the social sciences. This book is the only SPSS guide designed specifically for students in the fields of sport, exercise and k

This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better

Effective Data Visualization: The Right Chart for the Right Data is an easy-to-implement guide that readers can use to quickly determine the best chart type to use, and the best way to format the char

The Little Green Data Book 2016 is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversi

The volume Religion, Place and Modernity explores the spatial articulation of religion and modernity in and through places in Southeast and East Asia. Based on ethnographic, historical and theoretical

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016.The 57 papers presented in

While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.

The authors apply Six Sigma to continuous library improvement, showing libraries how to use data analytics and data-driven decision making to make their operations more cost-effective and value-added.

Recent advances in digital sensors, networks, storage, and computation, along with their low cost availability, is creating huge collections of data known as "Big Data." This has led to the emergence

From the first tally, scratched on a wolf bone over thirty thousand years ago, to the Large Hadron Collider, which produces forty million megabytes of data per second, data is big, and getting bigger.

Written from within the best traditions of ecocritical thought, this book provides a wide-ranging account of the spatial imagination of landscape and seascape in literary and cultural contexts from ma

The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categori

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting t

As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behav