Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline. Key Features: A concise overview of spatial statistics theory and methods, looking at parallel developments in geostatistics and spatial econometrics, highlighting the eclipsing of centography and point pattern analysis by geostatistics and spatial autoregression, and the emergence of local analysis Contemporary descriptions of popular geospatial random variables, emphasizing one- and two-parameter spatial autoregression specifications, and Moran eigenvector spatial filtering coupled with a broad coverage of statistical estimation techniques A detailed articulation of a spatial statistical workflow conceptualization The helpful insights from empirical applications of spatial statistics in agronomy, criminology, demography, economics, epidemiology, geography, remotely sensed data, urban studies, and zoology/botany, will make this book a useful tool for upper-level students in these disciplines.

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter. This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre.

Adventure, excitement, escape, and incarceration are keywords from the psychiatric autobiography, From the Inside of the Keyhole. This challenge to a diagnosis of manic depression or bipolar disorder will have you riding on the crest of a wave as you wonder what will happen next. Diagnosed with manic depressive psychosis at sixteen years of age, author Margaret Griffiths takes you on a journey that will expose you to the detrimental effects of psychiatric drugs and the mysteries of life in a mental institution. You will find poignancy and heartbreak, interspersed with anger, frustration, hope, and achievement; you will be touched by the logic of unreality. Is it possible for a peaceful, rational individual to emerge from a plethora of drugs, frequent seclusions, and recurrent internment? From the Inside of the Keyhole is set mainly in Queensland, Australia, with a short period in Singapore and Hong Kong, but the message it carries is relevant around the globe. Check out the strategies, developed by the author, which may free you from the effects of emotional turmoil, lack of sleep, and the need for psychiatric drugs.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline. Key Features: A concise overview of spatial statistics theory and methods, looking at parallel developments in geostatistics and spatial econometrics, highlighting the eclipsing of centography and point pattern analysis by geostatistics and spatial autoregression, and the emergence of local analysis Contemporary descriptions of popular geospatial random variables, emphasizing one- and two-parameter spatial autoregression specifications, and Moran eigenvector spatial filtering coupled with a broad coverage of statistical estimation techniques A detailed articulation of a spatial statistical workflow conceptualization The helpful insights from empirical applications of spatial statistics in agronomy, criminology, demography, economics, epidemiology, geography, remotely sensed data, urban studies, and zoology/botany, will make this book a useful tool for upper-level students in these disciplines.

This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.

This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book "Non-standard Spatial Statistics and Spatial Econometrics" by the same authors, which was published by Springer in 2011.

This volume is devoted to those areas that can advance our understanding of international business. It contains contributions from intellectual leaders of the field, using cutting edge research to explore frontier topics in international business, and to look at where international business is going.

In Britain, America, and many other countries, television audiences and advertising revenues are declining. At the same time digital television and new models are emerging. This book looks at the reinvention of television, and answers many essential questions about the future of this fickle industry.

Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"-some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"-several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences.

Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.  

Considerable investment has been made by both pharmaceutical and biotechnology companies in pharmaceutical products of biotechnology. However, because relatively few of these products have been marketed, lack of relevant experience means that uncertainty still surrounds the most appropriate strategy for their safety evaluation. The 13th CMR International Workshop, held in February 1997, provided the opportunity for regulatory authority and industry experts from Europe, Japan and the USA to share their experiences of designing safety evaluation programmes for specific product classes: colony stimulating factors, growth factors, hormones, interferons, interleukins, monoclonal antibodies for therapeutic use, and gene therapy products. Participants worked together to recommend those studies that should be considered for such safety evaluation, and those that may be unnecessary. These recommendations subsequently made a valuable contribution to the ICH guideline Safety Studies for Biotechnological Products', which was finalised at ICH 4 in Brussels in July 1997. The Workshop proceedings not only describe the recommendations but also provide the reader with an appreciation of the science behind safety evaluation strategies used by experts, the influence of different regulatory systems on these strategies, and the type of data required by both toxicologists and clinicians before they have sufficient confidence to administer pharmaceutical products of biotechnology to humans.

King and Countryis a selection of essays and papers from Ralph A. Griffiths, published variously in Wales, England, France and North America between 1964 and 1990. It explores themes in the history of England and Wales in the Fifteenth Centuryand the dominions of the English crown beyond.

In recent years there has been a growing interest in and concern for the development of a sound spatial statistical body of theory. This work has been undertaken by geographers, statisticians, regional scientists, econometricians, and others (e. g., sociologists). It has led to the publication of a number of books, including Cliff and Ord's Spatial Processes (1981), Bartlett's The Statistical Analysis of Spatial Pattern (1975), Ripley's Spatial Statistics (1981), Paelinck and Klaassen's Spatial Economet ics (1979), Ahuja and Schachter's Pattern Models (1983), and Upton and Fingleton's Spatial Data Analysis by Example (1985). The first of these books presents a useful introduction to the topic of spatial autocorrelation, focusing on autocorrelation indices and their sampling distributions. The second of these books is quite brief, but nevertheless furnishes an eloquent introduction to the rela tionship between spatial autoregressive and two-dimensional spectral models. Ripley's book virtually ignores autoregressive and trend surface modelling, and focuses almost solely on point pattern analysis. Paelinck and Klaassen's book closely follows an econometric textbook format, and as a result overlooks much of the important material necessary for successful spatial data analy sis. It almost exclusively addresses distance and gravity models, with some treatment of autoregressive modelling. Pattern Models supplements Cliff and Ord's book, which in combination provide a good introduction to spatial data analysis. Its basic limitation is a preoccupation with the geometry of planar patterns, and hence is very narrow in scope."

This volume is in honour of the remarkable career of the Father of Spatial Econometrics, Professor Jean Paelinck, presently of the Tinbergen Institute, Rotterdam. Jean Paelinck, arguably, is the founder of modern spatial econometrics. The impact on the profession through his work in spatial econometrics, regional science, and more conventional economics can be measured in many ways: through the work of his students, his devotion to and activism in facilitating the diffusion of regional science to Poland, the formulation and development of his FLEUR model, his co-founding of the French-speaking Regional Science Association, the voluminous references to his scholarly publications, his many invitations to be a featured speaker at conferences and universities throughout the world, the offices he has held in scholarly and professional associations, Erasmus University Rotterdam and the Netherlands Economic Institute, and the numerous honorary degrees he has been awarded. A series of special sessions in honour of Jean Paelinck were organized at the most prominent regional science meetings around the world. A number of prominent scholars in the field organized and participated in special sessions labelled In Honour of Professor Paelinck.' These sessions reflect a truly global reach of the techniques and methods pioneered by him. As an outgrowth of six conferences final versions of the selection of papers are collected in this volume. Prominent ideas contained in each of the selected contributions can be traced explicitly to work by Jean Paelinck.

Proceedings of the NATO Advanced Study Institute, Bonas, France, July 6-19, 1980

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data – including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) – inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.

This book is the first to analyse how BBC radio presented Anglophone Caribbean literature and in turn aided and influenced the shape of imaginative writing in the region. Glyne A. Griffith examines Caribbean Voices broadcasts to the region over a fifteen-year period and reveals that though the program's funding was colonial in orientation, the content and form were antithetical to the very colonial enterprise that had brought the program into existence. Part literary history and part literary biography, this study fills a gap in the narrative of the region's literary history.

This is the third volume of the authoritative history of the county of Gwent, geared towards an understanding of the county's past for the twenty-first century reader. Volume III is a highly illustrated collection dealing with the early modern period of Welsh history, from the creation of Monmouthshire by the Act of Union in 1536 to the beginnings of industrialization in the later eighteenth century.

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data - including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) - inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.

Here Chris Williams and Andy Croll, two distinguished historians of twentieth-century Britain, particularly Wales, marshal seventeen fellow historians to describe the momentous twentieth-century history of southeast Wales. The book is the fifth and last volume in a comprehensive history of Gwent/Monmouthshire from prehistoric times to the present day. Chapters detail the two world wars and deep depression that tested the resilience of the county's people, as well as how the decline of mining and heavy industry shifted the balance of the county's economy. Others analyze the life and leisure of ordinary people; their cultural, intellectual, and sporting interests; their religion, which formerly bulked so large in their lives; and the changes in the landscape of town and country.

A study of the thirty-five Carnegie libraries built in towns and industrial communities in Wales before the First World War. The library system is in a transformative phase that attracts much attention; these Carnegie buildings have never been fully recorded, and some are in critical condition. This book illustrates their social, cultural and architectural significance, and how they reflect Carnegie's extraordinary philanthropic vision. It reviews the free and public library system in Wales and Great Britain from the first Public Libraries Act of 1850, followed by an account of Carnegie's career as 'the richest man in the world' and the importance he attached to promoting libraries for all, regardless of age and gender. The haphazard development of public libraries in the nineteenth century is the context in which Carnegie's links with Wales are noted, along with the circles in which he moved in Britain. The largest section discusses the libraries' locations, sites and patrons, and the buildings themselves. It concludes with Carnegie's legacy in Wales, not least the role of his UK Trust in the county library movement after 1911.

This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book "Non-standard Spatial Statistics and Spatial Econometrics" by the same authors, which was published by Springer in 2011.

This book is the first to analyse how BBC radio presented Anglophone Caribbean literature and in turn aided and influenced the shape of imaginative writing in the region. Glyne A. Griffith examines Caribbean Voices broadcasts to the region over a fifteen-year period and reveals that though the program's funding was colonial in orientation, the content and form were antithetical to the very colonial enterprise that had brought the program into existence. Part literary history and part literary biography, this study fills a gap in the narrative of the region's literary history.

This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.