An extension of Wilkinson's algorithm for positioning tick labels on axes

The non-data components of a visualization, such as axes and legends, can often be just as important as the data itself. They provide contextual information essential to interpreting the data. In this paper, we describe an automated system for choosing positions and labels for axis tick marks. Our s...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1998. - 16(2010), 6 vom: 15. Nov., Seite 1036-43
1. Verfasser: Talbot, Justin (VerfasserIn)
Weitere Verfasser: Lin, Sharon, Hanrahan, Pat
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2010
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
LEADER 01000caa a22002652 4500
001 NLM202634493
003 DE-627
005 20250212040246.0
007 cr uuu---uuuuu
008 231223s2010 xx |||||o 00| ||eng c
024 7 |a 10.1109/TVCG.2010.130  |2 doi 
028 5 2 |a pubmed25n0675.xml 
035 |a (DE-627)NLM202634493 
035 |a (NLM)20975141 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Talbot, Justin  |e verfasserin  |4 aut 
245 1 3 |a An extension of Wilkinson's algorithm for positioning tick labels on axes 
264 1 |c 2010 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 14.12.2010 
500 |a Date Revised 26.10.2010 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a The non-data components of a visualization, such as axes and legends, can often be just as important as the data itself. They provide contextual information essential to interpreting the data. In this paper, we describe an automated system for choosing positions and labels for axis tick marks. Our system extends Wilkinson’s optimization-based labeling approach to create a more robust, full-featured axis labeler. We define an expanded space of axis labelings by automatically generating additional nice numbers as needed and by permitting the extreme labels to occur inside the data range. These changes provide flexibility in problematic cases, without degrading quality elsewhere. We also propose an additional optimization criterion, legibility, which allows us to simultaneously optimize over label formatting, font size, and orientation. To solve this revised optimization problem, we describe the optimization function and an efficient search algorithm. Finally, we compare our method to previous work using both quantitative and qualitative metrics. This paper is a good example of how ideas from automated graphic design can be applied to information visualization 
650 4 |a Journal Article 
700 1 |a Lin, Sharon  |e verfasserin  |4 aut 
700 1 |a Hanrahan, Pat  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on visualization and computer graphics  |d 1998  |g 16(2010), 6 vom: 15. Nov., Seite 1036-43  |w (DE-627)NLM098269445  |x 1941-0506  |7 nnns 
773 1 8 |g volume:16  |g year:2010  |g number:6  |g day:15  |g month:11  |g pages:1036-43 
856 4 0 |u http://dx.doi.org/10.1109/TVCG.2010.130  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 16  |j 2010  |e 6  |b 15  |c 11  |h 1036-43