It is not lost on commercial organisations that where we live colours how we view ourselves and others. That is why so many now place us into social groups on the basis of the type of postcode in which we live. Social scientists call this practice "commercial sociology". Richard Webber originated Acorn and Mosaic, the two most successful geodemographic classifications. Roger Burrows is a critical interdisciplinary social scientist. Together they chart the origins of this practice and explain the challenges it poses to long-established social scientific beliefs such as: the role of the questionnaire in an era of "big data" the primacy of theory the relationship between qualitative and quantitative modes of understanding the relevance of visual clues to lay understanding. To help readers evaluate the validity of this form of classification, the book assesses how well geodemographic categories track the emergence of new types of residential neighbourhood and subject a number of key contemporary issues to geodemographic modes of analysis.
The amount of data produced, captured and transmitted through the media has never been greater. But for this data to be useful, it needs to be properly understood and claims made about or with data need to be properly scrutinized. Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims. How accurate are polls, and how should we know? How should league tables be read? Are numbers presented as ‘large’ really as big as they may seem at first glance? By answering these questions and more, readers will learn a number of statistical concepts central to many undergraduate social science statistics courses. By tying them in to real life examples, the importance and relevance of these concepts comes to life. As such, this book does more than teaches techniques needed for a statistics course; it teaches you life skills that we need to use every single day.
This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.
Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.
International Encyclopedia of Human Geography, Second Edition, Fourteen Volume Set embraces diversity by design and captures the ways in which humans share places and view differences based on gender, race, nationality, location and other factors—in other words, the things that make people and places different. Questions of, for example, politics, economics, race relations and migration are introduced and discussed through a geographical lens. This updated edition will assist readers in their research by providing factual information, historical perspectives, theoretical approaches, reviews of literature, and provocative topical discussions that will stimulate creative thinking. Presents the most up-to-date and comprehensive coverage on the topic of human geography Contains extensive scope and depth of coverage Emphasizes how geographers interact with, understand and contribute to problem-solving in the contemporary world Places an emphasis on how geography is relevant in a social and interdisciplinary context
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data. Key Features: ● Showcases the excellent data science environment in Python. ● Provides examples for readers to replicate, adapt, extend, and improve. ● Covers the crucial knowledge needed by geographic data scientists. It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts. Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.
A pioneering book that takes us beyond economic debate to show how inequality is returning us to a past dominated by empires, dynastic elites, and ethnic divisions. The economic facts of inequality are clear. The rich have been pulling away from the rest of us for years, and the super-rich have been pulling away from the rich. More and more assets are concentrated in fewer and fewer hands. Mainstream economists say we need not worry; what matters is growth, not distribution. In The Return of Inequality, acclaimed sociologist Mike Savage pushes back, explaining inequality’s profound deleterious effects on the shape of societies. Savage shows how economic inequality aggravates cultural, social, and political conflicts, challenging the coherence of liberal democratic nation-states. Put simply, severe inequality returns us to the past. By fracturing social bonds and harnessing the democratic process to the strategies of a resurgent aristocracy of the wealthy, inequality revives political conditions we thought we had moved beyond: empires and dynastic elites, explosive ethnic division, and metropolitan dominance that consigns all but a few cities to irrelevance. Inequality, in short, threatens to return us to the very history we have been trying to escape since the Age of Revolution. Westerners have been slow to appreciate that inequality undermines the very foundations of liberal democracy: faith in progress and trust in the political community’s concern for all its members. Savage guides us through the ideas of leading theorists of inequality, including Marx, Bourdieu, and Piketty, revealing how inequality reimposes the burdens of the past. At once analytically rigorous and passionately argued, The Return of Inequality is a vital addition to one of our most important public debates.
Challenging the often-hyperbolic claims that have been made around the use of data in election campaigns for voter manipulation and suppression, this book provides unrivalled evidence of how parties actually behave. It shows that data-driven campaigning practice is not inherently problematic or new, but neither is it uniform, rather systemic, regulatory and party level factors affecting the nature of campaigning. Providing detailed empirical examples from Australia, Canada, Germany, the UK and US, this book shows how parties campaign and explains why parties differ, thereby resetting prevailing understanding of the role of data in campaigns.
Marking the renaissance of social geographies in recent years, this major textbook showcases the breadth of conceptual and empirical approaches that scholars now utilize to understand contemporary social issues through a spatial lens. The book is collectively authored by one of the largest groups of social geographers in the world. It develops a vision of social geographies that is rooted in the commitments that have characterised the sub-discipline for at least half a decade (e.g. society-space relations, justice, equality), while incorporating new approaches, theories and concerns (e.g. emotions, performance, and the more-than-human). Embracing the increasing porosity of our work with neighbouring economic, cultural, political and environmental geographies, the book provides a round-up of the state of the sub-discipline, capturing recent directions and charting new questions and challenges for theory, research and practice. It makes sense of the bewildering variety of contemporary social geographical interests, from longstanding topics (e.g. race, class and gender) to more recent interests (e.g. sustainability, digital worlds and social change). Above all, it makes clear the relevance and contributions of social geographies not only to understanding a wide range of global and local issues, but to social change alongside communities, policy-makers and social movements. Each chapter offers an introduction to current work in social geographies, providing an overview and in-depth examples. The book has these key features that make it an essential resource for any social geography course: An accessible and engaging style that is ideal for entry level students Definitions of key terms and carefully explained concepts and ideas A range of exciting contemporary examples from a wide variety of geographical settings, including those drawn from the authors’ recent research Cross-referencing between chapters to help students expand learning Illustration with photos, tables, diagrams and other material Suggestions for further reading in each chapter “Real world research” and “real world theory” textboxes providing examples of research projects and theoretical perspectives, bringing topics alive and exploring challenges on the ground
This collection of essays presents insight and methodology that are highly relevant for readers today as they consider the future of the world they live in. Experiencing the COVID-19 pandemic, people have realized how fragile the current economy is and the necessity for reconstructing the socio-economic system. That system, which was considered the default for so long, was succeeded by the analytical framework of economics and regional science. The contents of this book are diversified, as are the achievements of Prof. Yasuhiro Sakai, to whom this volume is dedicated, and cover a wide area from mathematical and experimental economics to conventional and emerging fields of regional science. Some are timeless topics that have had new life breathed into them. Part I deals with, among other areas, risk management with uncertain events; the effectiveness and impacts of regulation and friction related to trading; the stability of strategic behavior and market equilibrium; and sustainable regional development and urban planning from the long-term perspective. Part II also presents a diversity of subjects, including input–output analysis and computable general equilibrium (CGE) modelling for internal as well as external structure and network linkage, such as a value chain; openness and creativity as related to competition among cities and regions; dispersion versus concentration; and inequality versus equality.
