24 research outputs found
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Visual analysis design to support research into movement and use of space in Tallinn: A case study
We designed and applied interactive visualisation to help an urban study group investigate how suburban residents in the Tallinn Metropolitan Area (Estonia) use space in the city. We used mobile phone positioning data collected from suburban residents together with their socio-economic characteristics. Land-use data provided geo-context that helped characterise visited locations by suburban residents. Our interactive visualisation design was informed by a set of research questions framed as identification, localisation and comparison tasks. The resulting prototype offers five linked and coordinated views of spatial, temporal, socio-economic characteristics and land-use aspects of data. Brushing, sorting and filtering provide visual means to identify similarities between individuals and facilitate the identification, localisation and comparison of patterns of use of urban space. The urban study group was able to use the prototype to explore their data and address their research questions in a more flexible way than previously possible. Initial feedback was positive. The prototype was found to support the research and facilitate the discovery of patterns and relations among groups of participants and their movements
Cognitive and psychological science insights to improve climate change data visualization
Visualization of climate data plays an integral role in the communication of climate change findings to both expert and non-expert audiences. The cognitive and psychological sciences can provide valuable insights into how to improve visualization of climate data based on knowledge of how the human brain processes visual and linguistic information. We review four key research areas to demonstrate their potential to make data more accessible to diverse audiences: directing visual attention, visual complexity, making inferences from visuals, and the mapping between visuals and language. We present evidence-informed guidelines to help climate scientists increase the accessibility of graphics to non-experts, and illustrate how the guidelines can work in practice in the context of Intergovernmental Panel on Climate Change graphics
Frictional Indentation of an Elastic Half-Space
In this chapter, we study the axisymmetric indentation problem for a transversely isotropic elastic half-space with finite friction. By treating the indentation problem incrementally, its general solution is reduced to that of the problem for a flat-ended cylindrical indenter with an unknown stick-slip radius. The solution to the latter problem in the transversely isotropic case is obtained via Turner?s equivalence principle Turner (Int J Solids Struct 16:409?419, 1980 [15]), from the analytical solution given by Spence (J Elast 5:297?319, 1975 [12]) in the case of isotropy. The generalization, due to Stor?kers and Elaguine (J Mech Phys Solids 53:1422?1447, 2005 [14]), of the BASh relation for incremental indentation stiffness, and also accounting for the friction effects, is presented. The case of self-similar contact with friction is considered in more detai
Graph and chart aesthetics for experts and laymen in design: The role of familiarity and perceived ease of use
The Landscape Metaphor for Visualization of Molecular Similarities
Clustered graphs are a versatile representation formalism for expressing relations between entities, and simultaneously, reflecting their hierarchical structure. This makes clustered graphs well-suited to model complex structured data. However, obtaining appealing drawings of clus- tered graphs is a challenging task. We employ the landscape metaphor to visualize clustered graphs in a cheminformatics application. In order to browse chemical compound libraries in a systematic way, we consider two different molecular similarity concepts. Combining the scaffold-based cluster hierarchy with molecular similarity graphs allows for new insights in the analysis of large molecule libraries. Here, like in certain other application domains, the cluster hierarchy does not necessarily reflect the underlying graph structure. We improve the approach taken in [9] by ap- plying a modified treemap algorithm for node positioning that takes the edges of the graph into account. Experiments with real-world instances clearly show that the new algorithm leads to significant improvements in terms of the edge lengths