By Dirk Burghardt, Cécile Duchêne, William Mackaness
Research within the box of automatic generalisation has confronted new demanding situations lately because of technological advancements in web-based processing, new visualisation paradigms and entry to large volumes of multi-source information generated by means of sensors and people. In those contexts, map generalisation must underpin ‘on-demand mapping’, a kind of mapping that responds to person consumer requisites 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 guides in foreign journals). This ebook has a coherent constitution, each one bankruptcy concentrating on center options and initiatives within the map generalisation in the direction of on-demand mapping. every one bankruptcy offers a cutting-edge assessment, including case reports that illustrate the applying of pertinent generalisation methodologies. The e-book addresses concerns from facts accumulating to multi scaled outputs. hence there are chapters dedicated to defining consumer standards in dealing with requirements, and within the program and overview 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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In addition, privileging user preferences over 2 Map Specifications and User Requirements 27 the expertise of the map designer may put at risk the map’s efficiency and consequently, the user’s satisfaction. However, as the manual process represented in Fig. 2 shows, user’s preferences about maps derived on-demand can help refine the system’s proposition (Sect. 4). 2 Knowledge-Based Mechanisms Used to Infer Map Specifications This section focuses on systems that infer personalised map specifications from user requirements.
2007). If generalisation could be more flexible it could adapt to various needs depending on the context of use. The idea of adaptive generalisation was first studied to enable advanced location-based services (Reichenbacher 2004). Here, maps have had to adapt to new, but well-defined parameters defining user requirements: taking account of the user’s location and mobility, the screen size and resolution, and the user’s task (Sarjakoski and Nivala 2005). A demonstration of this was done by the EU-funded GiMoDig project (Sarjakoski and Sarjakoski 2007), with the first prototype of adaptive generalisation in a mobile context.
Simplified) for the project. 2 Formalisation of NMA Map Specifications for Automated Generalisation In the task of formalising map specifications for automated generalisation, the EuroSDR project distinguishes between two stages. The first stage is to describe the specifications in a way that the users (in this case the testers of the systems) fully understand what they should try to obtain from the system. The second stage is to translate these specifications in a format understandable by the generalisation system.