Paper Info
Title
Adjacent-relation-based map zooming method
Abstract
Map zooming is one of the most important operations in map reading process, especially to small displays or mobile information devices used in Location-Based Services (LBS) field. But existing map zooming methods, i.e. static linear zooming, static stepped zooming and dynamic zooming, mainly depend on metric relation, which ignore the effects of uneven spatial objects distribution to zooming operation. It leads redundant zooming and panning operation, and makes it difficult to read map in mobile information devices. This paper proposes a k.5-order adjacent relation model based on Voronoi diagrams and uses it to control the change of map information in the zooming operation. The main steps to realize adjacent-relation-based zooming include: classifying information, selecting generators, calculating and prestoring adjacent relations, calculating user's adjacent relation, Zooming-out or zooming-in based on user's adjacent relation. An experiment has been done and shows the method is feasible and efficient to improve existing zooming operation. The method also can be extended to desktop map zooming operation.
Year
DOI
Venue
2010
10.1109/GEOINFORMATICS.2010.5567888
Geoinformatics
Keywords
Field
DocType
map zooming,k.5-order adjacent relation model,cartography,lbs,location-based services,computational geometry,adjacent-relation-based map zooming method,voronoi diagrams,adjacent relation,information science,cognition,location based services,measurement,relational model,generators,location based service,gold,mobile communication,voronoi diagram
Computer vision,Data mining,Panning (camera),Computer science,Computational geometry,Zoom,Location-based service,Artificial intelligence,Voronoi diagram,Mobile telephony
Conference
ISBN
Citations 
PageRank 
978-1-4244-7301-4
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Chaode Yan121.14
Renliang Zhao2315.85
Jun Chen320721.33
Xuesheng Zhao432.54