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.
In the early 1800s, Rossini’s operas permeated Italy, from the opera house to myriad arrangements heard in public and private. But after Rossini stopped composing, a sharp decline in popularity drove most of his works out of the repertory. In the past half century, they have made a spectacular return to operatic stages worldwide, but this recent fame has not been accompanied by a comparable critical reevaluation. Emanuele Senici’s new book provides a fresh look at the motives behind the Rossinian furore and its aftermath by examining the composer’s works in the historical context in which they were conceived, performed, seen, heard, and discussed. Situating the operas firmly within the social practices, cultural formations, ideological currents, and political events of early nineteenth-century Italy, Senici reveals Rossini’s dramaturgy as a radically new and specifically Italian reaction to the epoch-making changes witnessed in Europe at the time. The first book-length study of Rossini’s Italian operas to appear in English, Music in the Present Tense exposes new ways to explore nineteenth-century music and addresses crucial issues in the history of modernity, such as trauma, repetition, and the healing power of theatricality.
It gives me much pleasure to introduce this work of Prof. Dr. Ing. Fumagalli, a work that covers both the development and present state of the art of structural model techniques. In my view, in this context, only a lack of understanding of the possibilities offered by experiments on models and sometimes an unjustified suspicion of them have up to now restricted the development that these methods deserve. I think, in particular, and the many examples quoted in the text bear witness to this, that models today constitute an efficient means of research that have been refined through advances in the methods of reproduction, testing and measurement. They represent a reliable and above all safe method of investigation, suitable for use in the elastic range and beyond up to failure, as much for historic ancient monuments as for modern works and structures of particularly bold design that are frequently highly redundant. They are a particularly valuable tool in areas where analytical methods are inadequate, and yet always useful for comparison with analytical results. Guido Oberti Preface I have embarked on writing a text on the techniques of structural models for two basic reasons: Firstly because I wish to attempt in some measure a personal appreciation of the subject based on more than twenty years experience, insofar as this can be achieved in a logically coherent and complete treatise.
New firm formation is a critical driver of job creation, and an important contributor to the responsiveness of the economy to aggregate shocks. In this paper we examine the characteristics of the individuals who become entrepreneurs when local opportunities arise due to an increase in local demand. We identify local demand shocks by linking fluctuations in global commodity prices to municipality level agricultural endowments in Brazil. We find that the firm creation response is almost entirely driven by young and skilled individuals, as measured by their level of experience, education, and past occupations involving creativity, problem-solving and managerial roles. In contrast, we find no such response within the same municipalities among skilled, yet older individuals, highlighting the importance of lifecycle considerations. These responsive individuals are younger and more skilled than the average entrepreneur in the population. The entrepreneurial response of young individuals is larger in municipalities with better access to finance, and in municipalities with more skilled human capital. These results highlight how the characteristics of the local population can have a significant impact on the entrepreneurial responsiveness of the economy.
Travel has often been taken as a metaphor for human life, and the concept of travel and the traveller has varied across centuries, cultural traditions, and social groups. Following a diachronic overview of travel writing, this study considers some of the most important Italian writers of the late nineteenth and twentieth-centuries, such as D’Annunzio, Pirandello, Svevo, with particular focus on their note-books, letters, travel diaries, and reportage. An analysis of this material indicates that these authors collect their miscellaneous notes, in some cases, as private and personal documents, and in other instances to possibly develop future articles, essays or novels. It goes on to focus on the journey par excellence, the trip to America, regarded as an Eden. In many of their works, writers such as Ojetti, Giacosa, Cecchi, Piovene express their ambivalence towards a place often idealized as a land of freedom and opportunity, yet also acknowledged as a land where oppression and violence are all too real. The study attempts to demonstrate how all the traveller-writers discussed “translate” their sense of discovery in their books, and the extent to which that sense affects the conception of each of the texts.
An interdisciplinary history of standardized measurements. Measurement is all around us—from the circumference of a pizza to the square footage of an apartment, from the length of a newborn baby to the number of miles between neighboring towns. Whether inches or miles, centimeters or kilometers, measures of distance stand at the very foundation of everything we do, so much so that we take them for granted. Yet, this has not always been the case. This book reaches back to medieval Italy to speak of a time when measurements were displayed in the open, showing how such a deceptively simple innovation triggered a chain of cultural transformations whose consequences are visible today on a global scale. Drawing from literary works and frescoes, architectural surveys, and legal compilations, Emanuele Lugli offers a history of material practices widely overlooked by historians. He argues that the public display of measurements in Italy’s newly formed city republics not only laid the foundation for now centuries-old practices of making, but also helped to legitimize local governments and shore up church power, buttressing fantasies of exactitude and certainty that linger to this day. This ambitious, truly interdisciplinary book explains how measurements, rather than being mere descriptors of the real, themselves work as powerful molds of ideas, affecting our notions of what we consider similar, accurate, and truthful.
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.
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