This book is the first to examine disasters from a multidisciplinary perspective. Justification of actions in the face of disasters requires recourse both to conceptual analysis and ethical traditions. Part 1 of the book contains chapters on how disasters are conceptualized in different academic disciplines relevant to disasters. Part 2 has chapter...
Economists have long sought to maximise economic growth, believing this to be their best contribution to improving human welfare. That approach is not sustainable in the face of ongoing issues such as global climate change, environmental damage, rising inequality and enduring poverty. Alternatives must be found.
This book addresses that challenge....
The Gulf of Mexico is an open and dynamic marine ecosystem rich in natural resources but heavily impacted by human activities, including agricultural, industrial, commercial and coastal development. Nutrients and pollutants from coastal communities and dozens of rivers flow into the Gulf, including material from the Mississippi River watershed, whi...
This book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new challenges for the social organisation of knowledge, collective innovation, and th...
This book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of mark...
Rethinking the Internet of Things was a 2014 Jolt Award Finalist, the highest honor for a programming book. And the amazing part is that there is no code in the book.
Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that personal computers, tablets and smart phones are. Billions of inter...
This open access textbook is the first to provide Business and Economics Ph.D. students with a precise and intuitive introduction to the formal backgrounds of modern financial theory. It explains Brownian motion, random processes, measures, and Lebesgue integrals intuitively, but without sacrificing the necessary mathematical formalism, making them...
This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the boo...
In the light of growing political and religious fundamentalism, this book defends the idea of freedom as paramount for the attempt to find common ethical ground in the age of globality. The book sets out to examine as yet unexhausted ways to boost the resilience of the principle of liberalism. Critically reviewing the last 200 years of the philosop...
This volume is the first ever collection devoted to the field of proof-theoretic semantics. Contributions address topics including the systematics of introduction and elimination rules and proofs of normalization, the categorial characterization of deductions, the relation between Heyting's and Gentzen's approaches to meaning, knowability...
This book presents the concept of value as the central component to success and longevity of the global ICT industry player, Huawei. It provides examples of how Huawei focuses on customers to pursue sustainable and profitable growth rather than focusing on capital market valuation, which is a familiar scenario among Western companies. It is the bus...
The overall aim of this book, an outcome of the European FP7 FET Open NESS project, is to contribute to the ongoing effort to put the quantitative social sciences on a proper footing for the 21st century. A key focus is economics, and its implications on policy making, where the still dominant traditional approach increasingly struggles to capture ...
We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science - the technologi...
If you've ever written a non-trivial JavaScript application, you know that creating a code base that's easy to maintain and scales well over time is no small feat. The complexity only grows as the project becomes larger. While it's impossible to plan for every change that could possibly happen over the life of a project, you can help...
This free book focuses on the interplay between random walks on planar maps and Koebe's circle packing theorem. Further topics covered include electric networks, the He–Schramm theorem on infinite circle packings, uniform spanning trees of planar maps, local limits of finite planar maps and the almost sure recurrence of simple random walks o...
This text offers a comprehensive and nuanced view of the economic development of Spain since 1850. It provides a new set of historical GDP estimates for Spain from the demand and supply sides, and presents a reconstruction of production and expenditure series for the century prior to the introduction of modern national accounts. The author spl...
This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is beco...
This book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the g...
This open access textbook welcomes students into the fundamental theory of measure, integration, and real analysis. Focusing on an accessible approach, Axler lays the foundations for further study by promoting a deep understanding of key results. Content is carefully curated to suit a single course, or two-semester sequence of courses, creating a v...
You've built web sites that can be used by humans. But can you also build web sites that are usable by machines? That's where the future lies, and that's what RESTful Web Services shows you how to do. The World Wide Web is the most popular distributed application in history, and Web services and mashups have turned it into a powerful...
This bestselling book is now the standard guide to building phone systems with Asterisk, the open source IP PBX that has traditional telephony providers running scared! Revised for the 1.4 release of the software, the new edition of Asterisk: The Future of Telephony reveals how you can save money on equipment and support, and finally be in control ...
The dramatic change in the price and accessibility of data demands a new focus on data analytic literacy. This book is intended for use by people who perform regular data analyses. It aims to give a brief summary of the key ideas, practices, and pitfalls of modern data analysis. One goal is to summarize in a succinct way the most common difficultie...
Quoting is all around us. But do we really know what it means? How do people actually quote today, and how did our present systems come about? This book brings together a down-to-earth account of contemporary quoting with an examination of the comparative and historical background that lies behind it and the characteristic way that quoting links pa...
Guido van Rossum created the Python programming language in the late 1980s. In contrast to other popular languages such as C, C++ , Java, and C#, Python strives to provide a simple but powerful syntax.
Python is used for software development at companies and organizations such as Google, Yahoo, Facebook, CERN, Industrial Light and Magic, and NAS...
Take pictures and shoot video with your Raspberry Pi. Connecting a High Quality Camera or Camera Module turns your favourite credit-card-sized computer into a powerful digital camera. Learn how to set up and control the camera to capture stills and video footage. Discover the numerous modes and effects available, and use the camera in a variety of ...
This book integrates the classic fields of mechanics - statics, dynamics, and strength of materials - using examples from biology and medicine. The book is excellent for teaching either undergraduates in biomedical engineering programs or health care professionals studying biomechanics at the graduate level. Extensively revised from a successful th...
This book is exceptional in the sense that it provides an introduction to law in general rather than the law of one specific jurisdiction, and it presents a unique way of looking at legal education. It is crucial for lawyers to be aware of the different ways in which societal problems can be solved and to be able to discuss the advantages and disad...
This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters...
This book offers a completely new approach to learning and teaching the fundamentals of analytical chemistry. It summarizes 250 basic concepts of the field on the basis of slides. Each of the nine chapters offers the following features:
- Introduction: Summary. General scheme. Teaching objectives.
- Text containing the explanation of each slide.
- ...
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural ...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative pr...