Multidimensional multivariate data can be visualized using many different well-known charts, such as bar charts, stacked bar charts, grouped bar charts, scatterplots, or pivot tables, or also using more advanced highdimensional techniques such as scatterplot matrices (SPLOMs) or parallel coordinate plots (PCPs). These many techniques have different advantages, and users may wish to use several ...

Interaction in visualization is often complicated and tedious. Brushing data in a visualization such as parallel coordinates is a central part of the data analysis process, and sets visualization apart from static charts. Modifying a brush, or combining it with another one, usually requires a lot of effort and mode switches, though, slowing down interaction and even discouraging more complex qu...

The analysis of high-dimensional data means a big challenge, as most common visualization techniques do not scale well for displaying a large number of attributes at one time. Therefore, the initial questions arising when analyzing a new dataset typically concern the dimensions themselves in order to assess the relevance of various attributes and to identify clusters of similar (i.e., highly co...

We describe a new procedure for the parallel mapping of selected metals in histologically characterized tissue samples. Mapping is achieved via image registration of digital data obtained from two neighbouring cryosections by scanning the first as a histological sample and subjecting the second to laser ablation inductively coupled plasma mass spectrometry. This computer supported procedure ena...

In this paper, we present an interactive exploration framework that puts the human-in-the-loop with the application of quality metrics and brushing techniques for an efficient visual analysis of high-dimensional data sets. Our approach makes use of the human ability to distinguish interesting structures even within very cluttered projections of the data and uses quality metrics to guide the use...

Abstract: Severe early childhood caries remains the most common chronic disease affecting children. .Its multifactorial etiology lead to the controversy about which risk factors were more significant to its development. Therefore our study aimed through meticulous statistical analysis to arrange the “well agreed upon” common risk factors in order of significance to aid the clinician in tailorin...

We designed and applied novel interactive visualisation to investigate how social networks – derived from smartphone logs – are embedded in time and space. Social networks were identified through direct calls between participants and calls to mutual contacts of participants. Direct contact between participants was sparse and deriving networks through mutual contacts helped enrich the social net...

Abstract Disk-shaped specimens were prepared from additively (NX and DT), subtractively (MZ), conventionally manufactured denture base resins (CV). Surface roughness color coordinates measured after polishing, simulated brushing, coffee thermocycling, while surface was also before polishing. Polishing reduced the of all materials. Brushing thermocycling increased only DT. CV had highest suscept...

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 res...

This paper reviews and illustrates a direct manipulation approach to visualization of complex objects and collections of complex objects painting multiple views. vVedescribe a programming model based on simple constraints between entities in an the underlying scientific database and the components of displays used to examine the data. With this model, the original notion of "brushing scatterplo...