David Harte

In the wake of the withdrawal of commercial journalism from local communities at the beginning of the 21st century, Hyperlocal Journalism critically explores the development of citizen-led community news operations. The book draws together a wide range of original research by way of case studies, interviews, and industry and policy analysis, to give a complete view of what is happening to communities as their local newspapers close or go into decline to be replaced by emerging forms of digital news provision. This study takes the United Kingdom as its focus but its findings speak to common issues found in local media systems in other Western democracies. The authors investigate who is producing hyperlocal news and why, as well as production practices, models of community and participatory journalism, and the economics of hyperlocal operations. Looking holistically at hyperlocal news, Hyperlocal Journalism paints a vivid picture of citizens creating their own news services via social media and on free blogging platforms to hold power to account, redress negative reputational geographies, and to tell everyday stories of community life. The book also raises key questions about the sustainability of such endeavours in the face of optimism from commentators and policy-makers.

In the wake of the withdrawal of commercial journalism from local communities at the beginning of the 21st century, Hyperlocal Journalism critically explores the development of citizen-led community news operations. The book draws together a wide range of original research by way of case studies, interviews, and industry and policy analysis, to give a complete view of what is happening to communities as their local newspapers close or go into decline to be replaced by emerging forms of digital news provision. This study takes the United Kingdom as its focus but its findings speak to common issues found in local media systems in other Western democracies. The authors investigate who is producing hyperlocal news and why, as well as production practices, models of community and participatory journalism, and the economics of hyperlocal operations. Looking holistically at hyperlocal news, Hyperlocal Journalism paints a vivid picture of citizens creating their own news services via social media and on free blogging platforms to hold power to account, redress negative reputational geographies, and to tell everyday stories of community life. The book also raises key questions about the sustainability of such endeavours in the face of optimism from commentators and policy-makers.

Although multifractals are rooted in probability, much of the related literature comes from the physics and mathematics arena. Multifractals: Theory and Applications pulls together ideas from both these areas using a language that makes them accessible and useful to statistical scientists. It provides a framework, in particular, for the evaluation of statistical properties of estimates of the Renyi fractal dimensions. The first section provides introductory material and different definitions of a multifractal measure. The author then examines some of the various constructions for describing multifractal measures. Building from the theory of large deviations, he focuses on constructions based on lattice coverings, covering by point-centered spheres, and cascades processes. The final section presents estimators of Renyi dimensions of integer order two and greater and discusses their properties. It also explores various applications of dimension estimation and provides a detailed case study of spatial point patterns of earthquake locations. Estimating fractal dimensions holds particular value in studies of nonlinear dynamical systems, time series, and spatial point patterns. With its careful yet practical blend of multifractals, estimation methods, and case studies, Multifractals: Theory and Applications provides a unique opportunity to explore the estimation methods from a statistical perspective.

Although multifractals are rooted in probability, much of the related literature comes from the physics and mathematics arena. Multifractals: Theory and Applications pulls together ideas from both these areas using a language that makes them accessible and useful to statistical scientists. It provides a framework, in particular, for the evaluation of statistical properties of estimates of the Renyi fractal dimensions. The first section provides introductory material and different definitions of a multifractal measure. The author then examines some of the various constructions for describing multifractal measures. Building from the theory of large deviations, he focuses on constructions based on lattice coverings, covering by point-centered spheres, and cascades processes. The final section presents estimators of Renyi dimensions of integer order two and greater and discusses their properties. It also explores various applications of dimension estimation and provides a detailed case study of spatial point patterns of earthquake locations. Estimating fractal dimensions holds particular value in studies of nonlinear dynamical systems, time series, and spatial point patterns. With its careful yet practical blend of multifractals, estimation methods, and case studies, Multifractals: Theory and Applications provides a unique opportunity to explore the estimation methods from a statistical perspective.