By Dirk Burghardt, Cécile Duchêne, William Mackaness
Research within the box of automatic generalisation has confronted new demanding situations lately due to technological advancements in web-based processing, new visualisation paradigms and entry to large volumes of multi-source information generated through sensors and people. In those contexts, map generalisation must underpin ‘on-demand mapping’, a sort of mapping that responds to person consumer necessities within the thematic choice and visualisation of geographic details. it really is 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 courses in overseas journals). This e-book has a coherent constitution, each one bankruptcy targeting center strategies and projects within the map generalisation in the direction of on-demand mapping. every one bankruptcy provides a state of the art assessment, including case stories that illustrate the appliance of pertinent generalisation methodologies. The ebook addresses matters from facts amassing to multi scaled outputs. hence there are chapters dedicated to defining consumer requisites in dealing with requisites, and within the software and assessment of map generalisation algorithms. It explores the applying of generalisation methodologies within the context of becoming volumes of knowledge and the expanding approval for person generated content.
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Extra resources for Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation
However, with the current design, components will be chosen and combined manually. Thus, creating new products will still be relatively slow and expensive and custom products will only be viable for a few large customers. An exploratory project launched in 2010 investigated a more advanced use of this database in order to bring the benefits of custom products to a wider range of customers (Balley and Regnauld 2011). In this approach, the geographic components are picked and mixed to create products on demand automatically, therefore at low cost.
Unfortunately, the end-user is not always given a chance to express their requirements. Instead, they are assessed by the customer who will order the map (the user and customer may be the same person). The customer expresses the assessed requirements to the cartographer, whose role will be to design a product that best fits those requirements. The expression and interpretation of requirements is typically an iterative process. e. a description of the target map in terms of information content and information representation.
A pragmatic option is to use templates. With ScaleMaster, (Brewer and Buttenfield 2010) provide formal guidelines for the information content of multi-scale topographic maps, and ‘‘recipes’’ to derive them with a minimal workload. A library of styles is defined for each scale range. When the scale is decreasing, style modifications are preferred to geometric transformations, which only occur over significant changes in scale. The ScaleMaster model was implemented by Touya and Girres (2013) to monitor automatic multi-scale generalisation.