This book explores different approaches to defining the concept of region depending on the specific question that needs to be answered. While the typical administrative spatial data division fits certain research questions well, in many cases, defining regions in a different way is fundamental in order to obtain significant empirical evidence. The book is divided into three parts: The first part is dedicated to a methodological discussion of the concept of region and the different potential approaches from different perspectives. The problem of having sufficient information to define different regional units is always present. This justifies the second part of the book, which focuses on the techniques of ecological inference applied to estimating disaggregated data from observable aggregates. Finally, the book closes by presenting several applications that are in line with the functional areas definition in regional analysis.
This book presents cutting‐edge research on urban and regional systems applying modern spatial analytical techniques of Geographic Information Science & Technologies (GIS&T), spatial statistics, and location modeling. The contributions, written by leading scholars from around the globe, adopt a spatially explicit analytical perspective and highlight methodological innovations and substantive breakthroughs on many facets of the socioeconomic and environmental reality of urban and regional contexts. The book is divided into three parts: The first part offers an introduction to the research field, while the second part discusses critical issues in urban growth and urban management, presenting case studies on city and urban environments, their growth, data infrastructures and spatial and management issues. The third part then broadens the analysis to the regional scale, addressing growth, convergence and adaptation to new economic and information‐based realities. This book appeals to scholars of spatial and regional sciences as well as to policy decision-makers interested in advanced methods of spatial analysis, location modeling, and GIS&T.
Resilience has emerged as a recurrent notion to explain how territorial socio-economic systems adapt successfully (or not) to negative events. In this book, the authors use resilience as a bridging notion to connect different types of theoretical and empirical approaches to help understand the impacts of economic turbulence at the system and actor levels. The book provides a unique overview of the financial crisis and the important dimension of innovation dynamics for regional resilience. It also offers an engaging debate as to how regional resilience can be improved and explores the social aspects of vulnerability, resilience and innovation.
This book discusses the concept and practice of a smart metropolitan region, and how smart cities promote healthy economic and spatial development. It highlights how smart metropolitan regional development can energize, reorganize and transform the legacy economy into a smart economy; how it can help embrace Information and Communications Technology (ICT); and how it can foster a shared economy. In addition, it outlines how the five pillars of the third industrial revolution can be achieved by smart communities. In addition, the book draws on 16 in-depth city case studies from ten countries to explore the state of the art regarding the smart economy in smart cities – and to apply the lessons learned to shape smart metropolitan economic and spatial development.
In recent years and decades, we observe the reality of a new urban world: the percentage of the world population living in urban areas has increased from around 30 in 1950 to around 54 in 2015, and is expected to reach 66 by 2050. However, in most cases the focus of research has been on the dynamics of the developed world. By contrast, our understanding of regional and urban dynamics in the developing world remains very limited. Developing countries will by 2030 host more than 85% of the world population, and more than 90% of the new urban residents of the world will live in cities in the developing world according to the United Nations. This special issue on "Cities in the 21st century: A view from the developing world" consists of an introductory editorial and four papers. They all study aspects of the reality of developing countries in the 21st century, always from a spatial perspective. Each paper focuses on a different topic, but they nicely complement each other. While three papers focus on Latin America and the fourth one on the reality of Eastern Europe and Central Asia, they all have broader implications for the developing world in general.
This report provides a framework to understand the changing relationships between urban and rural areas. Specifically, it documents the characteristics of these partnerships and the factors that can hinder as well as enable rural-urban co-operation.
This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) in Boston, MA, March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.
These proceedings represent the work of contributors to the 10th European Conference on Innovation and Entrepreneurship (ECIE 2015), hosted this year by The University of Genoa, Italy on the 17-18 September 2015. The Conference Chair is Prof Luca Beltrametti and the Programme Co-chairs are Prof Renata Paola Dameri, Prof. Roberto Garelli and Prof. Marina Resta, all from the University of Genoa. ECIE continues to develop and evolve. Now in its 10th year the key aim remains the opportunity for participants to share ideas and meet the people who hold them. The scope of papers will ensure an interesting two days. The subjects covered illustrate the wide range of topics that fall into this important and growing area of research. The opening keynote presentation is given by Marco Doria – Mayor of Genoa on the topic of Innovation and entrepreneurship in Genoa: past, present and future. A second keynote will be given by Flavia Marzano from the National board for innovation and Italian digital agenda on the topic of Innovation: New visions not just new technologies. The second day Keynote will be given by Roberto Santoro, President of the European Society of Concurrent Engineering Network (ESoCE Net) on the topic of People Olympics for healthy and active living: A people driven social innovation platform. In addition to the main themes of the conference there are a number of specialist mini tracks on topics including Innovation and strategy, Entrepreneurship education in action, The theory and practice of collaboration in entrepreneurship and Challenges for entrepreneurship and innovation n the 21st Century. With an initial submission of 275 abstracts, after the double blind, peer review process there are 88 Academic research papers, 6 PhD research papers, 1 Masters Research paper, 4 work-in-progress papers and 1 Non-academic paper published in these Conference Proceedings. These papers represent research from Australia, Brazil, Bulgaria, Colombia, Croatia, Cyprus, Czech Republic, Denmark, Egypt, Finland, , France, Germany, Ghana, Greece, Hungary, India, Iran, Ireland, Israel, Italy, Japan, Kazakhstan, , Kuwait, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Poland, Portugal, Romania, Romania, Russia, Russian Federation, Saudi Arabia, South Africa, Spain, Sweden, Thailand, Thailand, UK and USA
Much has been written and debated about the various methodologies applied to modern stratigraphic analysis and the ever increasing complexity of terminologies. However, there exist numerous stratigraphic techniques that are reliant upon precise, quantitative, reproducible data, rather than qualitative interpretive stratigraphic methodologies. Such stratigraphic techniques are applied in an entirely pragmatic non-biased manner within the petroleum industry to provide enhanced stratigraphic understanding of petroleum systems. The petroleum industry is a key driver behind the development of new stratigraphic techniques and a major provider of new stratigraphic data, which has resulted in several of these new techniques having been developed as a requirement to the industry. Furthermore, because techniques, such as isotope chemostratigraphy, elemental chemostratigraphy, magnetic susceptibility stratigraphy, numerical biostratigraphy and heavy mineral stratigraphy are based around precise, quantified and reproducible analytical data, they provide an independent means to test the more interpretive stratigraphic methodologies. This volume attempts an overview of stratigraphic methodologies, but largely focuses on data-generative stratigraphic techniques such as chemostratigraphy, magnetic susceptibility stratigraphy, numerical biostratigraphy and heavy mineral stratigraphy. Where appropriate, each paper discusses data generation methods including sample preparation and analytical methods as well outlining data interpretation methods. This is followed by case histories that demonstrate how those data are used to resolve stratigraphic problems, commonly using material derived from petroleum basins around the World.
Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spat
