1 / 19

Labeling

Labeling . Rylan Cottrell. Excentric Labeling. Textual information is often required to support /supplement a visualization for the identification of critical elements of the display. How they see the problem: Lack of labels.

lydia
Télécharger la présentation

Labeling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Labeling Rylan Cottrell

  2. Excentric Labeling • Textual information is often required to support /supplement a visualization for the identification of critical elements of the display. • How they see the problem: • Lack of labels. • Restrictions on how labels are viewed, i.e., labels can only be viewed one at a time (e.g., tooltips). • Labels can obscure data. • Poor placement of labels can lead to ambiguity. • Data density. • Long labels.

  3. Taxonomy of Labeling Techniques • Goal of the layout. • Readable. • No ambiguity between the element and its label. • Labels do not obscure pertinent information. • Static • Label-at-all-cost • Rapid Label – overlaps, data occlusion. • Label-what-you-can – only labels that fit are displayed.

  4. Taxonomy Cont’d • Dynamic • Cursor sensitive balloon label – think tooltip. • All or Nothing – labels appear when the number of objects fall below a certain limit.

  5. Scatter plot - Excentric

  6. Map - Zoom

  7. Map - Excentric

  8. Cartography - Excentric

  9. Particle-Based Labeling • Non-overlapping labeling is NP-Hard. • Needs • Real-time interaction • No preprocessing • No label conflicts - No occlusion • Does not obscure data • No constraints on the labels • Global labeling solution

  10. Labeling Pipeline

  11. Conflict Detection

  12. Results

  13. Dynamic Map Labeling • Static Map – goal is to maximize information. • Dynamic Map. • Continuous zoom. • Continuous pan. • Interactive speed. • Purpose – navigation.

  14. Dynamic Label Consistency • D1 – Except for sliding in or out of the view area, labels should not vanish when zooming in or appear when zooming out. • D2 – As long as a label is visible, its position and size should change continuously under pan and zoom. • D3 – Except for sliding in or out of the view area, labels should not vanish or appear during panning. • D4 – The placement and selection of any label is a function of the current map state.

  15. Dynamic selection – at which scales a label will be selected. • Dynamic placement – a static placement for each scale at which a label is selected. • Filtering • Number of labels much larger then what can be shown in any given view area.

  16. Preprocessing • Determine dynamic placement. • Choose the active range for each label. • Interaction • Filter labels on the basis. • Geographic region. • Scale. • For each label not filtered out, display iff the current scale is in active range.

  17. NYC

  18. NYC - Zoom

  19. Google Earth

More Related