This book delivers stimulating input for a broad range of researchers, from geographers and ecologists to psychologists interested in spatial perception and physicists researching in complex systems. How can one decide whether one surface or spatial object is more complex than another? What does it require to measure the spatial complexity of small maps, and why does this matter for nature, science and technology? Drawing from algorithmics, geometry, topology, probability and informatics, and with examples from everyday life, the reader is invited to cross the borders into the bewildering realm of spatial complexity, as it emerges from the study of geographic maps, landscapes, surfaces, knots, 3D and 4D objects. The mathematical and cartographic experiments described in this book lead to hypotheses and enigmas with ramifications in aesthetics and epistemology.

As Earth faces the greatest mass extinction in 65 million years, the present is a moment of tremendous foment and emergence in ecological science. With leaps in advances in ecological research and the technical tools available, scientists face the critical task of challenging policymakers and the public to recognize the urgency of our global crisis. This book focuses directly on the interplay between theory, data, and analytical methodology in the rapidly evolving fields of animal ecology, conservation, and management. The mixture of topics of particular current relevance includes landscape ecology, remote sensing, spatial modeling, geostatistics, genomics, and ecological informatics. The greatest interest to the practicing scientist and graduate student will be the synthesis and integration of these topics to provide a composite view of the emerging field of spatial ecological informatics and its applications in research and management.

This book offers state-of-the-art ‘tools for thinking’ for urban designers, planners and decision-makers. Thematically it focuses on the contexts of problems in urban design and places community spaces at the heart of urban design research. The book provides practicable tools for network modelling and visualization in urban design research. Step-by-step examples take readers through methods for tracing the evolution of road networks, and their impacts on contemporary community spaces. Easy-to-follow guides to programming show how to process and plot community data sets as network graphs. They reveal how these can help to observe and represent the different ways in which community spaces are inter-connected. This book places these technological methods in the context of current theories of community formations. It considers how these cutting-edge tools for thinking in urban design research – comprising both theories and methods – could transform our understanding of community spaces as being complex, inter-dependent and socially meaningful assets. This book is pioneering in its analysis of the urban contexts to community formations, and in its argument for professional integration between urban and knowledge practitioners. Academics and professionals within the fields of design research, urban studies, spatial analysis, urban geography and sociology will benefit from reading this book.

Complex systems analysis has become a fascinating topic in modern research on non-linear dynamics, not only in the physical sciences but also in the life sciences and the social sciences. After the era of bifurcation theory, chaos theory, syn- getics, resilience analysis, network dynamics and evolutionary thinking, currently we observe an increasing interest in critical transitions of dynamic real-world systems in many disciplines, such as demography, biology, psychology, economics, earth sciences, geology, seismology, medical sciences, and so on. The relevance of this approach is clearly re?ected in such phenomena as traf?c congestion, ?nancial crisis, ethnic con?icts, eco-system breakdown, health failures, etc. This has prompted a world-wide interest in complex systems. Geographical space is one of the playgrounds for complex dynamics, as is witnessed by population movements, transport ?ows, retail developments, urban expansion, lowland ?ooding and so forth. All such dynamic phenomena have one feature in common: the low predictability of uncertain interrelated events occurring at different interconnected spatio-temporal scale levels and often originating from different disciplinary backgrounds. The study of the associated non-linear (fast and slow) dynamic transition paths calls for a joint research effort of scientists from different disciplines in order to understand the nature, the roots and the con- quences of unexpected or unpredictable changes in complex spatial systems.

This is the first book on spatial entropy in the scientific literature. It links spatial entropy with landscape analysis, landscape diversity and geo-information. It gives all the essential tools that a researcher needs in order to study the spatial entropy of physical as well as artificial landscapes (created with artificial life, swarm intelligence etc). This book explores the fascinating world of the interplay between spatial entropy, spatial information, self-organization and emergence and gives geographers and landscape scientists several alternative mathematical methods to study them, i.e. Shannon's formula, measures from non-extensive thermodynamics, from directional statistics and network theory. An essential book for researchers in landscape analysis and geo-informatics.

Urban Complexity and Spatial Strategies develops important new relational and institutionalist approaches to policy analysis and planning, of relevance to all those with an interest in cities and urban areas. Well-illustrated chapters weave together conceptual development, experience and implications for future practice and address the challenge of urban and metropolitan planning and development. Useful for students, social scientists and policy makers, Urban Complexity and Spatial Strategies offers concepts and detailed cases of interest to those involved in policy development and management, as well as providing a foundation of ideas and experiences, an account of the place-focused practices of governance and an approach to the analysis of governance dynamics. For those in the planning field itself, this book re-interprets the role of planning frameworks in linking spatial patterns to social dynamics with twenty-first century relevance.

This book reframes theoretical, methodological and practical approaches to public administration by drawing on complexity theory concepts. It aims to provide alternative perspectives on the theory, research and practice of public administration, avoiding assumptions of traditional theory-building. The contributors explain both how ongoing non-linear interactions result in macro patterns becoming established in a complexity-informed world view, and the implications of these dynamics. Complexity theory explains the way in which many repeated non-linear interactions among elements within a whole can result in processes and patterns emerging without design or direction, thus necessitating a reconsideration of the predictability and controllability of many aspects of public administration. As well as illustrating how complexity theory informs new research methods for studying this field, the book also shines a light on the different practices required of public administrators to cope with the complexity encountered in the public policy and public management fields. This book was originally published as a special issue of the Public Management Review journal.