splot - visual analytics for spatial statistics

Visual Analytics of Spatial Scan Statistic Results

Kulldorff’s scan statistic[1] is a spatial scan statistics method for detecting and evaluating statistically-significant, spatial clusters (e.g. disease, crime, etc). The method and its software implementation – SaTScan – is used widely in an increasing number of applications including epidemiology and other research fields. Here, we abbreviate the method as SaTScan method. Many researchers hav...

Visual analytics of spatial interaction patterns for pandemic decision support

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CourtVision: New Visual and Spatial Analytics for the NBA

This paper investigates spatial and visual analytics as means to enhance basketball expertise. We introduce CourtVision, a new ensemble of analytical techniques designed to quantify, visualize, and communicate spatial aspects of NBA performance with unprecedented precision and clarity. We propose a new way to quantify the shooting range of NBA players and present original methods that measure, ...

Towards Quantitative Visual Analytics with Structured Brushing and Linked Statistics

Until now a lot of visual analytics predominantly delivers qualitative results—based, for example, on a continuous color map or a detailed spatial encoding. Important target applications, however, such as medical diagnosis and decision making, clearly benefit from quantitative analysis results. In this paper we propose several specific extensions to the well-established concept of linking&brush...

Collaborative Visual Analytics 1 COLLABORATIVE VISUAL ANALYTICS