The production of strokes according to the perceptual grouping of arcs in a road network provides a good basis for the generalization of road networks, but a large amount of time is required for their creation and selection, and they lack associations with the map objects along them. In this study, we propose a system for generalizing a guide map with road networks and category-based web search results on demand in response to a user request, or a triplet of an area, a size, and a category. The main features of the proposed system are as follows. (1) It constructs a database of strokes and refines the strokes by considering the actual movements of people. It also introduces a data structure called a “fat-stroke,” which combines web search results with the strokes. Pre-construction of the fat-stroke database facilitates the generalization of a guide map on demand to satisfy a user request. (2) It ranks the strokes in order of significance in a guide map according to the web search results combined with the strokes, as well as their length. (3) It determines the number of strokes that need to be drawn on a map based on the map scale and the proportion of road area relative to the whole area in the map. We developed a prototype of the proposed system and a preliminary evaluation demonstrated that pre-construction of the fat-stroke database reduced the response time for guide map generalization to less than 1 s, and thus it can be applied to web map services.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
- On-Demand Generalization of Guide Maps with Road Networks and Category-Based Web Search Results
Neuer Inhalt/© ITandMEDIA