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Abstracting Geographic Information In A Data Rich World Methodologies And Applications Of Map Generalisation 1st Edition Dirk Burghardt

  • SKU: BELL-4662282
Abstracting Geographic Information In A Data Rich World Methodologies And Applications Of Map Generalisation 1st Edition Dirk Burghardt
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Abstracting Geographic Information In A Data Rich World Methodologies And Applications Of Map Generalisation 1st Edition Dirk Burghardt instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 13.93 MB
Pages: 407
Author: Dirk Burghardt, Cécile Duchêne, William Mackaness (eds.)
ISBN: 9783319002026, 9783319002033, 3319002023, 3319002031
Language: English
Year: 2014
Edition: 1

Product desciption

Abstracting Geographic Information In A Data Rich World Methodologies And Applications Of Map Generalisation 1st Edition Dirk Burghardt by Dirk Burghardt, Cécile Duchêne, William Mackaness (eds.) 9783319002026, 9783319002033, 3319002023, 3319002031 instant download after payment.

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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