This book presents 50 case studies of contemporary co-housing projects spread all over the world to show how communities of shared living have become a global phenomenon that can serve as a tool to promote social and urban sustainability. By presenting evidence that shared housing experiences are capable of revitalizing sterile urban fabrics and promoting social sustainable practices, the volume situates co-housing experiences as microscale responses to the macroscale challenges posed by environmental degradation and the decline of communitarian ways of living. The volume also reviews the most famous typologies of shared living in different parts of the world across human history. By analyzing historical experiences in different regions of Africa, Americas, Asia, Europe and Oceania, the author shows that living together is part of a historical culture of sharing that is being rediscovered all over the world by people who activate public spaces, work in shared offices or live in contractual communities. The Co-Housing Phenomenon - Environmental Alliance in Times of Changes will be of interest to both professionals and scholars involved in urban design, urban planning and architecture, especially those in the field of sustainable urbanism. It will also be a valuable resource for public agents and civil society organizations dealing with housing, social, environmental and sustainability policies.

This book aims to provide bases for reasoning on what challenges urban-architectural design for vulnerable communities will face in the coming years. Several issues, such as technological development, climate change, political crisis and economic uncertainties show as traditional strategies and methodologies are not sufficient to deeply solve the problems of these complex realities. These new changes, which are studied in different fields of knowledge, highlight the fact that the development of effective solutions must be characterized by multidisciplinary approaches and must be based on strategies promoted by different disciplines. For this reason, this contributed volume collects contributions and considerations from experts in various fields of knowledge working in different parts of the world, such as the Americas, Europe and Asia. The goal is precisely to provide the reader with multidisciplinary knowledge and methodologies in order to better reflect and analyze the challenges that designing for vulnerable communities will face in the next few years. These multidisciplinary studies are organized into five sections: Sustainability and Vulnerabilities in Time of the Anthropocene Approaches, Principles and Paradigms to Contemporary Research and Practice for Vulnerable Communities Designing for Vulnerabilities: Applications and Actions Social Engagement in Vulnerable Communities Between Digital and Humanist Visions Vulnerabilities in Context: Analysis and Projects in the U.S.-Mexico Border Region Design for Vulnerable Communities will be of interest primarily to researchers and professionals in the field of urban-architectural design, but it will also be a useful tool to policy makers and members of civil society at large interested in making cities more inclusive.

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences. Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.

This book presents 50 case studies of contemporary co-housing projects spread all over the world to show how communities of shared living have become a global phenomenon that can serve as a tool to promote social and urban sustainability. By presenting evidence that shared housing experiences are capable of revitalizing sterile urban fabrics and promoting social sustainable practices, the volume situates co-housing experiences as microscale responses to the macroscale challenges posed by environmental degradation and the decline of communitarian ways of living. The volume also reviews the most famous typologies of shared living in different parts of the world across human history. By analyzing historical experiences in different regions of Africa, Americas, Asia, Europe and Oceania, the author shows that living together is part of a historical culture of sharing that is being rediscovered all over the world by people who activate public spaces, work in shared offices or live in contractual communities. The Co-Housing Phenomenon - Environmental Alliance in Times of Changes will be of interest to both professionals and scholars involved in urban design, urban planning and architecture, especially those in the field of sustainable urbanism. It will also be a valuable resource for public agents and civil society organizations dealing with housing, social, environmental and sustainability policies.

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences. Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.