By Dirk Burghardt, Cécile Duchêne, William Mackaness
Research 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 huge volumes of multi-source info generated via sensors and people. In those contexts, map generalisation must underpin ‘on-demand mapping’, a kind of mapping that responds to person consumer specifications within the thematic choice and visualisation of geographic details. it truly is this new impetus that drives the learn of the ICA fee on Generalisation and a number of illustration (for instance via its annual workshops, biannual tutorials and courses in foreign journals). This e-book has a coherent constitution, each one bankruptcy concentrating on middle ideas and initiatives within the map generalisation in the direction of on-demand mapping. each one bankruptcy provides a state of the art evaluate, including case stories that illustrate the appliance of pertinent generalisation methodologies. The publication addresses matters from facts accumulating to multi scaled outputs. therefore there are chapters dedicated to defining consumer standards in dealing with standards, and within the software and overview of map generalisation algorithms. It explores the applying of generalisation methodologies within the context of starting to be volumes of knowledge and the expanding approval for consumer generated content.
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Extra resources for Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation
As analysed by Duchêne et al. (2011), an emergency situation generates specific constraints on the map content—the message must be as simple as possible—and on the generalisation process itself—the map must be delivered quickly. User preferences are the last set of variables. They enable the end-user to express direct constraints on any component of the map specifications. They must be used with caution: as pointed out by Harding et al. e. their task or activity) than to define what geographical information they need.
1 Deriving a Custom Map: Process and Definitions While on-demand mapping is a long-term research goal, mapping agencies do currently deliver customised maps. Automatic services are available, but the customisation is still limited to the spatial extent, scale, title and cover of the map. These acctors may be the samee person Th hese actors may be thee same person 20 S. Balley et al. g. g. 1:25K map representing hazard areas and buildings classified by function Process-oriented map specifications -Representation constraints Processing tools Schema transformation, generalisation, integration, symbol specification Geographical Data Evaluate map fitness for use Express requirements Interpret requirements enough information Distribution-oriented map specifications -Conceptual schema with integrity constraints -Legend customer satisfied lack of information cartographer satisfied Ask for precisions cartographer unsatisfied Evaluate map Specify map Design map derivation process enough information lack of information Ask for precisions data engineer unsatisfied data engineer satisfied Parameterise map derivation process Execute map derivation process Evaluate map derivation process Map Fig.
This task determines the map topic, which in turns influences the represented concepts and their assigned symbols. For instance, a topographic map depicts the nature of the terrain features with a ‘‘neutral’’ legend, while a navigation map focuses on and emphasises communication networks and landmarks. The needs ‘‘visualise hazard zones’’ and ‘‘perform a risk analysis’’ call for the same map topic but for different generalisation levels (potentially going up to schematic maps) and legend choices.
Abstracting Geographic Information in a Data Rich World: Methodologies and Applications of Map Generalisation by Dirk Burghardt, Cécile Duchêne, William Mackaness