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Webber tackles a fundamental topic, the strategy and pattern behind the location of industrial production. He uses examples from the aircraft parts industry, the industrial decline in the UK, and the location pattern of manufacturing within cities. They suggest that as transport costs have fallen, the main location factors have become labour and agglomeration, themselves dependent upon general economic, political, and social systems.
Boots and Getis provide a concise explanation of point pattern analysis - a series of techniques for identifying patterns of clustering or regularity in a set of geographical locations. They discuss quadrat and distance methods of measurement, and consider the problems associated with these methods. The authors also outline and compare other measures of arrangement, suggesting when these techniques should be used.
We use a point-pattern methodology to explore the detailed location patterns of U.K. manufacturing industries. In particular, we consider the location of entrants and exiters versus continuing establishments, domestic-versus foreign-owned, large versus small, and affiliated versus independent. We also examine co-localization between vertically-linked industries. Our analysis provides a set of new stylized facts and confirmation for others.
This book explores the innovative workplaces, namely coworking spaces and makerspaces, that are emerging as a consequence of digital innovations and the related development of the knowledge economy and society in the wake of deindustrialization. Drawing on international and multidisciplinary research projects, fresh insights are provided into current trends, research methodologies, actors, location patterns and effects, and urban and regional policies and planning. The aim is to cast light on all aspects of these new working and making spaces, highlighting their innovative geographies and the complexities of their nexus with urban and regional change processes from both the theoretical and the empirical point of view. The book includes multiple illuminating case studies from the advanced economies of North America and Europe, carefully selected for their relevance to the topic under analysis. This book is designed for an international audience comprising not only academicians but also policymakers, representatives of civil and entrepreneurial associations, and business operators.
In this work, Professor Niemi offers statistical evidence as to the dispersal of industry after the Civil War and its later concentration as well as the changes in the structural composition of American manufacturing output.
Employing state-of-the art quantitative models and case studies, Location Theory and Decision Analysis provides the methodologies behind the siting of such facilities as transportation terminals, warehouses, housing, landfills, state parks and industrial plants. Through its extensive methodological review, the book serves as a primer for more advanced texts on spatial analysis, including the monograph on Location, Transport and Land-Use by the same author. Given the rapid changes over the last decade, the Second Edition includes new analytic contributions as well as software survey of analytics and spatial information technology. While the First Edition served the professional community well, the Second Edition has substantially expanded its emphasis for classroom use of the volume. Extensive pedagogic materials have been added, going from the fundamental principles to open-ended exercises, including solutions to selected problems. The text is of value to engineering and business programs that offer courses in Decision and Risk Analysis, Muticriteria Decision-Making, and Facility Location and Layout. It should also be of interest to public policy programs that use geographic Information Systems and satellite imagery to support their analyses.
Mobility is fundamental to economic and social activities such as commuting, manufacturing, or supplying energy. Each movement has an origin, a potential set of intermediate locations, a destination, and a nature which is linked with geographical attributes. Transport systems composed of infrastructures, modes and terminals are so embedded in the socio-economic life of individuals, institutions and corporations that they are often invisible to the consumer. This is paradoxical as the perceived invisibility of transportation is derived from its efficiency. Understanding how mobility is linked with geography is main the purpose of this book. The third edition of The Geography of Transport Systems has been revised and updated to provide an overview of the spatial aspects of transportation. This text provides greater discussion of security, energy, green logistics, as well as new and updated case studies, a revised content structure, and new figures. Each chapter covers a specific conceptual dimension including networks, modes, terminals, freight transportation, urban transportation and environmental impacts. A final chapter contains core methodologies linked with transport geography such as accessibility, spatial interactions, graph theory and Geographic Information Systems for transportation (GIS-T). This book provides a comprehensive and accessible introduction to the field, with a broad overview of its concepts, methods, and areas of application. The accompanying website for this text contains a useful additional material, including digital maps, PowerPoint slides, databases, and links to further reading and websites. The website can be accessed at: http://people.hofstra.edu/geotrans This text is an essential resource for undergraduates studying transport geography, as well as those interest in economic and urban geography, transport planning and engineering.
Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc.