Labeling streets in interactive maps using embedded labels

Autor(en): Schwartges, N.
Wolff, A.
Haunert, J.-H.
Herausgeber: Schneider, M.
Gertz, M.
Huang, Y.
Sankaranarayanan, J.
Krumm, J.
Stichwörter: Automated Label Placement; Effective algorithms; Flow visualization; Frames per seconds; Information systems, Constant sizes; Interactive frame rates; Interactive Maps; Label placement; Linear objects; Street crossing, Geographic information systems; Visualization
Erscheinungsdatum: 2014
Herausgeber: Association for Computing Machinery
Enthalten in: GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Band: 04-07-November-2014
Startseite: 517
Seitenende: 520
Zusammenfassung: 
We consider the problem of labeling linear objects (such as streets) in interactive maps where the user can pan, zoom, and rotate continuously. Our labels contain text (such as street names). They are embedded into the objects they label, i.e., they follow the curvature of the objects, they do not move with respect to the map background, but they scale in order to maintain constant size on the screen. To the best of our knowledge, this is the first work that deals with curved labels in interactive maps. Our objective is to label as many streets as possible and to select label positions of high quality while forbidding la-bels to overlap at street crossings. We present a simple but effective algorithm that takes curvature and crossings into account and produces aesthetical labelings. On average over all interaction types, our implementation reaches interactive frame rates of more than 85 frames per second. © Copyright 2014 ACM.
Beschreibung: 
Conference of 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 ; Conference Date: 4 November 2014 Through 7 November 2014; Conference Code:119343
ISBN: 9781450331319
DOI: 10.1145/2666310.2666494
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945976942&doi=10.1145%2f2666310.2666494&partnerID=40&md5=d36b988d02563a99617e3351256dbf5c

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