Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation - Couverture rigide
Livre 38 sur 74: Lecture Notes in Geoinformation and Cartography
Synopsis
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.
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Présentation de l'éditeur
Exploring the application of generalisation methodologies in the context of growing volumes of data and the rising popularity of user-generated content, this book offers state-of-the-art research on map generalisation algorithms, multi-scaled outputs and more.
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ABSTRACTING GEOGRAPHIC INFORMATION IN A DATA RICH WORLD (HB 2014)
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Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation (Lecture Notes in Geoinformation and Cartography)
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Springer, 2014
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ISBN 13 : 9783319002026
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Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation (Lecture Notes in Geoinformation and Cartography)
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Springer -, 2014
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ISBN 13 : 9783319002026
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Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation (eng)
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Abstracting Geographic Information in a Data Rich World
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Springer International Publishing Mrz 2014, 2014
ISBN 10 : 3319002023
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 424 pp. Englisch. N° de réf. du vendeur 9783319002026
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Abstracting Geographic Information in a Data Rich World
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ISBN 13 : 9783319002026
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Abstracting Geographic Information in a Data Rich World
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Abstracting Geographic Information in a Data Rich World
Edité par
Springer, Palgrave Macmillan Mär 2014, 2014
ISBN 10 : 3319002023
ISBN 13 : 9783319002026
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. Thebook 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 424 pp. Englisch. N° de réf. du vendeur 9783319002026
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Abstracting Geographic Information in a Data Rich World : Methodologies and Applications of Map Generalisation
Edité par
Springer, Palgrave Macmillan, 2014
ISBN 10 : 3319002023
ISBN 13 : 9783319002026
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Thebook 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. N° de réf. du vendeur 9783319002026
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