Despite the significance of urban justice in planning research and practice, how just societies and cities can be organised and achieved remains contested. Spatial justice provides an integrative and unifying theory concerning place, policies, people and their interplay, but ambiguities about its practical bases have undermined its application in planning. Through creating and substantiating a new conceptual framework comprising a morphological study, policy analysis and embodiment research, this book crystallises the spatiality of (in)justice and (in)justice of spatiality in the context of social housing redevelopment. Like many countries around the world, social housing in Aotearoa New Zealand is an area of contention, especially at the building and redevelopment stages. Protecting community character and human rights has been used by social housing tenants to resist changes, but the primary focus on material outcomes neglects broadening access to planning processes. Compact, mixed tenure and sustainable (re)developments are regarded as the just built environment, as they enable equal accessibility to all. But there are contradictions between the planned spatiality of justice and individuals’ socialised sensory space. Reconciliation of morphological differentiations in built forms and social cohesion remains a challenging task. This book focuses on the re-examination, integration and transferability of spatial justice. It makes a new contribution to urban justice theory by strengthening spatial justice and planning. Social housing areas are expected to adapt to changing social and economic demands while retaining much-valued established community character. This book also provides practical strategies for tackling complex planning problems in social housing redevelopment.
This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures. The text will also discuss interesting constraints on ordering or similarity relationships contained in novel classes of data dependencies in addition to those in equality relationships, e.g., considered in functional dependencies (FDs). In addition to exploring the concepts of these data dependency notations, the book investigates the extension relationships between data dependencies, such as conditional functional dependencies (CFDs) that extend conventional functional dependencies (FDs). This forms in the book a family tree of extensions, mostly rooted in FDs, that help illuminate the expressive power of various data dependencies. Moreover, the book points to work on the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety in big data. It further outlines the applications of the extended data dependencies, in particular in data quality practice. Altogether, this book provides a comprehensive guide for readers to select proper data dependencies for their applications that have sufficient expressive power and reasonable discovery cost. Finally, the book concludes with several directions of future studies on emerging data.
Despite the significance of urban justice in planning research and practice, how just societies and cities can be organised and achieved remains contested. Spatial justice provides an integrative and unifying theory concerning place, policies, people and their interplay, but ambiguities about its practical bases have undermined its application in planning. Through creating and substantiating a new conceptual framework comprising a morphological study, policy analysis and embodiment research, this book crystallises the spatiality of (in)justice and (in)justice of spatiality in the context of social housing redevelopment. Like many countries around the world, social housing in Aotearoa New Zealand is an area of contention, especially at the building and redevelopment stages. Protecting community character and human rights has been used by social housing tenants to resist changes, but the primary focus on material outcomes neglects broadening access to planning processes. Compact, mixed tenure and sustainable (re)developments are regarded as the just built environment, as they enable equal accessibility to all. But there are contradictions between the planned spatiality of justice and individuals’ socialised sensory space. Reconciliation of morphological differentiations in built forms and social cohesion remains a challenging task. This book focuses on the re-examination, integration and transferability of spatial justice. It makes a new contribution to urban justice theory by strengthening spatial justice and planning. Social housing areas are expected to adapt to changing social and economic demands while retaining much-valued established community character. This book also provides practical strategies for tackling complex planning problems in social housing redevelopment.
This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures. The text will also discuss interesting constraints on ordering or similarity relationships contained in novel classes of data dependencies in addition to those in equality relationships, e.g., considered in functional dependencies (FDs). In addition to exploring the concepts of these data dependency notations, the book investigates the extension relationships between data dependencies, such as conditional functional dependencies (CFDs) that extend conventional functional dependencies (FDs). This forms in the book a family tree of extensions, mostly rooted in FDs, that help illuminate the expressive power of various data dependencies. Moreover, the book points to work on the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety in big data. It further outlines the applications of the extended data dependencies, in particular in data quality practice. Altogether, this book provides a comprehensive guide for readers to select proper data dependencies for their applications that have sufficient expressive power and reasonable discovery cost. Finally, the book concludes with several directions of future studies on emerging data.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.