Welcome to the International Cartographic Association
Welcome to the website of the International Cartographic AssociationJune’s Map of the Month: World atlas in Polish and Braille
Welcome to the website of the International Cartographic Association
June’s Map of the Month is a world atlas in Polish and Braille
Map of the Month 05/2014: Physical Geography of Ukraine
Map of the Month 04/2014: Back in time feature on Géoportail

Abstracting Geographic Information in a Data Rich World – new book in the ICA book series

The newest book in the series Lecture Notes in Geoinformation and Cartography by Springer has been published:

Book cover for Abstracting Geographic Information in a Data Rich World
Abstracting Geographic Information in a Data Rich World
Burghardt, Dirk, Duchene, Cécile, Mackaness, William (Eds.)
2014, XV, 407 p. 180 illus., 128 illus. in color.

 

About the book

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.

Sample pages

Further links

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