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Abstracting Geographic Information in a Data Rich World: by Dirk Burghardt,Cécile Duchêne,William Mackaness

By Dirk Burghardt,Cécile Duchêne,William Mackaness

learn within the box of computerized generalisation has confronted new demanding situations in recent times because of technological advancements in web-based processing, new visualisation paradigms and entry to large volumes of multi-source facts generated through sensors and people. In those contexts, map generalisation must underpin ‘on-demand mapping’, a sort of mapping that responds to person consumer standards within the thematic choice and visualisation of geographic info. it's this new impetus that drives the study of the ICA fee on Generalisation and a number of illustration (for instance via its annual workshops, biannual tutorials and guides in foreign journals). This booklet has a coherent constitution, every one bankruptcy concentrating on middle suggestions and initiatives within the map generalisation in the direction of on-demand mapping. every one bankruptcy offers a cutting-edge evaluate, including case reports that illustrate the appliance of pertinent generalisation methodologies. The publication addresses concerns from information collecting to multi scaled outputs. therefore there are chapters dedicated to defining consumer specifications in dealing with requirements, and within the software and evaluate of map generalisation algorithms. It explores the appliance of generalisation methodologies within the context of starting to be volumes of information and the expanding acclaim for consumer generated content.

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