Abstracting Geographic Information In A Data Rich World: Methodologies And Applications Of Map Generalisation (lecture Notes In Geoinformation And ... International Cartographic Association (ica))
by Dirk Burghardt /
2014 / English / PDF
13.9 MB Download
Research in the field of automated generalisation has faced new
challenges in recent years as a result of technological
developments in web-based processing, new visualisation paradigms
and access to very large volumes of multi-source data generated by
sensors and humans. In these contexts, map generalisation needs to
underpin ‘on-demand mapping’, a form of mapping that responds to
individual user requirements in the thematic selection and
visualisation of geographic information. It is this new impetus
that drives the research of the ICA Commission on Generalisation
and Multiple Representation (for example through its annual
workshops, biannual tutorials and publications in international
journals). This book has a coherent structure, each chapter
focusing on core concepts and tasks in the map generalisation
towards on-demand mapping. Each chapter presents a state-of-the-art
review, together with case studies that illustrate the application
of pertinent generalisation methodologies. The book addresses
issues from data gathering to multi scaled outputs. Thus there are
chapters devoted to defining user requirements in handling
specifications, and in the application and evaluation of map
generalisation algorithms. It explores the application of
generalisation methodologies in the context of growing volumes of
data and the increasing popularity of user generated content.
Research in the field of automated generalisation has faced new
challenges in recent years as a result of technological
developments in web-based processing, new visualisation paradigms
and access to very large volumes of multi-source data generated by
sensors and humans. In these contexts, map generalisation needs to
underpin ‘on-demand mapping’, a form of mapping that responds to
individual user requirements in the thematic selection and
visualisation of geographic information. It is this new impetus
that drives the research of the ICA Commission on Generalisation
and Multiple Representation (for example through its annual
workshops, biannual tutorials and publications in international
journals). This book has a coherent structure, each chapter
focusing on core concepts and tasks in the map generalisation
towards on-demand mapping. Each chapter presents a state-of-the-art
review, together with case studies that illustrate the application
of pertinent generalisation methodologies. The book addresses
issues from data gathering to multi scaled outputs. Thus there are
chapters devoted to defining user requirements in handling
specifications, and in the application and evaluation of map
generalisation algorithms. It explores the application of
generalisation methodologies in the context of growing volumes of
data and the increasing popularity of user generated content.
