Highlighting Techniques To Support Geovisualization

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Highlighting Techniques to Support Geovisualization

    http://php.scripts.psu.edu/students/a/c/acr181/ACR_ICAVIS_06_Submitted.pdf
    Highlighting Techniques to Support Geovisualization. Anthony C. Robinson GeoVISTA Center, Department of Geography, The Pennsylvania State University [email protected]. Abstract. One often cited advantage of coordinated geovisualizations is that users are able to quickly view data elements from multiple perspectives.

Highlighting Techniques to Support Geovisualization

    http://www.acreditacion.fisa.cl/ugi_pruebas/contenidos/refereed/20/f_200982KCFYRQ.doc
    In each view of a coordinated multiple-view geovisualization, a single highlighting method is used for data objects that have been selected in some way. Compound. Compound highlighting applies multiple highlighting methods together for the data objects of interest that have been selected.

(PDF) Highlighting techniques to support geovisualization ...

    https://www.academia.edu/2667635/Highlighting_techniques_to_support_geovisualization
    Abstract One often cited advantage of coordinated geovisualizations is that users are able to quickly view data elements from multiple perspectives. This is typically supported by providing a special visual cue during rollover on a data element. This

Highlighting Techniques to Support Geovisualization ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.757
    This cue, commonly called highlighting, can be defined as the transient visual effect that is applied on data items across views when a mouse cursor or other input device has moved overhead. Visual highlighting techniques have been largely unexplored in research on coordinating multiple views.

VISUAL HIGHLIGHTING METHODS FOR GEOVISUALIZATION

    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.6315&rep=rep1&type=pdf
    that specify multiple ways in which highlighting techniques can be blended together or modified based on data values to enhance visual recognition in multiple coordinated view applications. INTRODUCTION . The key analytical affordances of geovisualization tools include dynamic interactive behaviors and coordinated multiple views of geospatial data.

(PDF) Highlighting in Geovisualization - ResearchGate

    https://www.researchgate.net/publication/261661211_Highlighting_in_Geovisualization
    Highlighting in Geovisualization. Coordinated view geovisualizations allow users to interactively pick and attend to data observations across multiple views. This is frequently supported by the transient application of a visual effect to an observation during a mouse selection or rollover.

VISUAL HIGHLIGHTING METHODS FOR GEOVISUALIZATION

    http://www.personal.psu.edu/acr181/ACR_ICA_2009.pdf
    Today, most geovisualization tools rely on simple color-based highlighting. This paper proposes additional visual highlighting methods that could be used in geovisualizations. It also presents a typology of interactive highlighting behaviors that specify multiple ways in which highlighting techniques can be blended together or

Interactive Rendering Techniques for Highlighting ...

    http://www.authorstream.com/Presentation/autopilot-629065-interactive-rendering-techniques-for-highlighting/
    Interactive Rendering Techniques for Highlighting - authorSTREAM Presentation

Interactive Rendering Techniques for Highlighting in 3D ...

    https://link.springer.com/chapter/10.1007%2F978-3-642-12670-3_12
    Jan 07, 2010 · Highlighting is an important component within a visualization framework and is essential for the user interaction within many applications. It enables the user to easily perceive active or selected objects in the context of the current interaction task. With respect to 3D GeoVE, it has a number of applications,...Cited by: 19

Exploring Geovisualization ScienceDirect

    https://www.sciencedirect.com/book/9780080445311/exploring-geovisualization
    This chapter highlights the role of contemporary research in geographic visualization (geovisualization) and its applications to the specific field of public transport information systems. Data is (or could be) collected by bus operators and other stakeholders in public transport, such as local government, consumer groups, etc., from a diversity of sources.



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