Overview with details for exploring geo-located graphs on maps

Brodkorb, Felix; Kuijper, Arjan; Andrienko, Gennady; Andrienko, Natalia; Landesberger, Tatiana von

doi:10.1177/1473871615597077

Cited by 14 publications

(11 citation statements)

References 35 publications

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“…It required participants to consider relationships between different maps, including correspondences between different zoom levels. The task design was inspired by a multiscale network visualisation on a 2D display [13]. We used a hypothetical transportation scenario and created a simple weighted geospatial network.…”

Section: Tasksmentioning

confidence: 99%

Maps Around Me

Satriadi

Ens

Cordeil

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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Visual exploration of maps often requires a contextual understanding at multiple scales and locations. Multiview map layouts, which present a hierarchy of multiple views to reveal detail at various scales and locations, have been shown to support better performance than traditional single-view exploration on desktop displays. This paper investigates the extension of such layouts of 2D maps into 3D immersive spaces, which are not limited by the real-estate barrier of physical screens and support sensemaking through spatial interaction. Based on our initial implementation of immersive multiview maps, we conduct an exploratory study with 16 participants aimed at understanding how people place and view such maps in immersive space. We observe the layouts produced by users performing map exploration search, comparison and route-planning tasks. Our qualitative analysis identifies patterns in layout geometry (spherical, spherical cap, planar), overview-detail relationship (central window, occluding, coordinated) and interaction strategy. Based on these observations, along with qualitative feedback from a user walkthrough session, we identify implications and recommend features for immersive multiview map systems. Our main findings are that participants tend to prefer and arrange multiview maps in a spherical cap layout around them and that they often rearrange the views during tasks. CCS Concepts: • Human-centered computing → Human computer interaction (HCI).

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Section: Tasksmentioning

confidence: 99%

Maps Around Me

Satriadi

Ens

Cordeil

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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“…One application of this technique can be found in the inset‐based visualization by Brodkorb et al . [BKA*16] discussed above. The geospatial graphs inside each inset can be distorted according to standard graph layouts to improve legibility.…”

Section: Literature Overviewmentioning

confidence: 99%

“…Brodkorb et al . [BKA*16] present a focus+context technique, in which densely populated areas of a geospatial graph are displayed as large‐scale detail insets on an overview map. The geographic regions in this case are selected by the user.…”

Section: Literature Overviewmentioning

confidence: 99%

The State of the Art in Map‐Like Visualization

Hogräfer

Heitzler

Schulz

2020

Computer Graphics Forum

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Cartographic maps have been shown to provide cognitive benefits when interpreting data in relation to a geographic location. In visualization, the term map‐like describes techniques that incorporate characteristics of cartographic maps in their representation of abstract data. However, the field of map‐like visualization is vast and currently lacks a clear classification of the existing techniques. Moreover, choosing the right technique to support a particular visualization task is further complicated, as techniques are scattered across different domains, with each considering different characteristics as map‐like. In this paper, we give an overview of the literature on map‐like visualization and provide a hierarchical classification of existing techniques along two general perspectives: imitation and schematization of cartographic maps. Each perspective is further divided into four principal categories that group common map‐like techniques along the visual primitives they affect. We further discuss this classification from a task‐centered view and highlight open research questions.

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“…To control the level of detail that is displayed, drill down, filter and query features allow the user to advance from a generalized overview to more detailed views [123]. Besides a reduction of complexity through filtering, intelligent clustering algorithms [128] and dynamic insets [138] are being developed to avoid visual occlusion and overload. In order to facilitate a better understanding of changes, for example, through variable model parameters or between time intervals, it is essential to provide suitable comparison tools.…”

Section: Efficient Geo-visualization Featuresmentioning

confidence: 99%

GIS and Transport Modeling—Strengthening the Spatial Perspective

Loidl

Wallentin

Cyganski

et al. 2016

IJGI

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Abstract:The movement and transport of people and goods is spatial by its very nature. Thus, geospatial fundamentals of transport systems need to be adequately considered in transport models. Until recently, this was not always the case. Instead, transport research and geography evolved widely independently in domain silos. However, driven by recent conceptual, methodological and technical developments, the need for an integrated approach is obvious. This paper attempts to outline the potential of Geographical Information Systems (GIS) for transport modeling. We identify three fields of transport modeling where the spatial perspective can significantly contribute to a more efficient modeling process and more reliable model results, namely, geospatial data, disaggregated transport models and the role of geo-visualization. For these three fields, available findings from various domains are compiled, before open aspects are formulated as research directions, with exemplary research questions. The overall aim of this paper is to strengthen the spatial perspective in transport modeling and to call for a further integration of GIS in the domain of transport modeling.

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Overview with details for exploring geo-located graphs on maps

Cited by 14 publications

References 35 publications

Maps Around Me

Maps Around Me

The State of the Art in Map‐Like Visualization

GIS and Transport Modeling—Strengthening the Spatial Perspective

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