Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered. Features: Discusses the very latest developments on multivariate and multidimensional mapping. Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches. Balances epidemiological and statistical points-of-view. Requires no previous knowledge of disease mapping. Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets. Supplies R code for the examples in the book so that they can be reproduced by the reader. About the Authors: Miguel A. Martinez Beneito has spent his whole career working as a statistician for public health services, first at the epidemiology unit of the Valencia (Spain) regional health administration and later as a researcher at the public health division of FISABIO, a regional bio-sanitary research center. He has been also the Bayesian Hierarchical Models professor for several seasons at the University of Valencia Biostatics Master. Paloma Botella Rocamora has spent most of her professional career in academia although she now works as a statistician for the epidemiology unit of the Valencia regional health administration. Most of her research has been devoted to developing and applying disease mapping models to real data, although her work as a statistician in an epidemiology unit makes her develop and apply statistical methods to health data, in general.

Migrants squats are an essential part of the 'corridors of solidarity' that are being created throughout Europe, where grassroots social movements engaged in anti-racist, anarchist and anti-authoritarian politics coalesce with migrants in devising non-institutional responses to the violence of border regimes. This book focuses on migrants' self-organised housing strategies in Europe and the collective squatting of buildings and land. In these spaces contentious politics and everyday social reproduction uproot racist and xenophobic regimes. The struggles emerging in these spaces disrupt host-guest relations, which often perpetuate state-imposed hierarchies and humanitarian disciplining technologies. The solidarities and collaborations between undocumented and documented activists in these radical spaces enable possibilities for inhabitance beyond, against and within citizenship. These do not only reverse forms of exclusion and repression, but produce ungovernable resources, alliances and subjectivities that prefigure more livable spaces for all. The contributions to this book address these struggles as forms of commoning, as they constitute autonomous socio-political infrastructures and networks of solidarity beyond and against the state and humanitarian provision. The chapters in this book were originally published as a special issue of Citizenship Studies.

This volume sheds light on the development of squatting practices and movements in nine European cities (Madrid, Barcelona, Seville, Rome, Paris, Berlin, Copenhagen, Rotterdam and Brighton) by examining the numbers, variations and significant contexts in their life course. It reveals how and why squatting practices have shifted and to what extent they engender urban movements. The book measures the volume and changes in squatting over various decades, mostly by focusing on Squatted Social Centres but also including squatted housing. In addition, it systematically compares the cycles, socio-spatial structures and the political implications of squatting in selected cities. This collection highlights how squatters' movements have persisted over more than four decades through different trajectories and circumstances, especially in relation to broader protest cycles and reveals how political opportunities and constraints influence the conflicts around the legalisation of squats. p>

This volume sheds light on the development of squatting practices and movements in nine European cities (Madrid, Barcelona, Seville, Rome, Paris, Berlin, Copenhagen, Rotterdam and Brighton) by examining the numbers, variations and significant contexts in their life course. It reveals how and why squatting practices have shifted and to what extent they engender urban movements. The book measures the volume and changes in squatting over various decades, mostly by focusing on Squatted Social Centres but also including squatted housing. In addition, it systematically compares the cycles, socio-spatial structures and the political implications of squatting in selected cities. This collection highlights how squatters' movements have persisted over more than four decades through different trajectories and circumstances, especially in relation to broader protest cycles and reveals how political opportunities and constraints influence the conflicts around the legalisation of squats. p>

This book originated from a course given at the Univcrsidad Aut6noma of Madrid in the Spring of 1994 and in the Universidad Complutense of Madrid in 1995. The goal of these courses is to give the non-specialist an introduction to some old and new ideas in the field of strongly correlated systems, in particular the problems posed by the high-1 superconducting materials. As theoretical physicists, our starting viewpoint to address the problem of strongly correlat ed ferlnion systems and related issues of modern condensed matter physics .is the renormalization group approach applied both to quantU111 field theory and statistical physics. In recent years this has become not only a powerful tool for retrieving the essential physics of interacting systems but also a link between theoretical physics and modern condensed matter physics. Furthermore, once we have this common background for dealing with apparently different prob lems, we discuss more specific topics and even phenomenological aspects of the field. In doing so we have tried to make the exposition clear and simple, with out entering into technical details but focusing ill the fundamental physics of the phenomena under study. Therefore, ve expect that our experience ll1ay have some value to other people entering this fascinating field. We have divided these notes into three parts and each part into chapters, which correspond roughly to one or two lectures. Part I, Chaps. 1-2 (A. H. V."

This volume, intended as a contribution to the 10th birthday of high T"c"-superconductivity, conveys the essential ideas of the field and addresses researchers as well as graduate students. A special feature is the pedagogical treatment of a variety of modern computational methods to deal with non-pertubative effects in strongly correlated systems. Among the topics treated are the Hubbard models, real space renormalization group methods, quantum phase transitions, the non-linear sigma model, spin ladders and layers, and the quantum Hall effect.

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered. Features: Discusses the very latest developments on multivariate and multidimensional mapping. Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches. Balances epidemiological and statistical points-of-view. Requires no previous knowledge of disease mapping. Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets. Supplies R code for the examples in the book so that they can be reproduced by the reader. About the Authors: Miguel A. Martinez Beneito has spent his whole career working as a statistician for public health services, first at the epidemiology unit of the Valencia (Spain) regional health administration and later as a researcher at the public health division of FISABIO, a regional bio-sanitary research center. He has been also the Bayesian Hierarchical Models professor for several seasons at the University of Valencia Biostatics Master. Paloma Botella Rocamora has spent most of her professional career in academia although she now works as a statistician for the epidemiology unit of the Valencia regional health administration. Most of her research has been devoted to developing and applying disease mapping models to real data, although her work as a statistician in an epidemiology unit makes her develop and apply statistical methods to health data, in general.