SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories.

Movement data sets collected using today's advanced tracking devices consist of complex trajectories in terms of length, shape, and number of recorded positions. Multiple additional attributes characterizing the movement and its environment are often also included making the level of complexity even higher. Simplification of trajectories can improve the visibility of relevant information by reducing less relevant details while maintaining important movement patterns. We propose a systematic stepwise methodology for simplifying and thematically enhancing trajectories in order to support their visual analysis. The methodology is applied iteratively and is composed of: (a) a simplification step applied to reduce the morphological complexity of the trajectories, (b) a thematic enhancement step which aims at accentuating patterns of movement, and (c) the representation and interactive exploration of the results in order to make interpretations of the findings and further refinement to the simplification and enhancement process. We illustrate our methodology through an analysis example of two different types of tracks, aircraft and pedestrian movement

Evaluation of shoulder-specific patient-reported outcome measures: A systematic and standardized comparison of available evidence

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.Background: The aim of this study was to perform a standardized and systematic evaluation of the available evidence on multi-item shoulder-specific patient-reported outcome measures that are applicable to a wide spectrum of disorders. Materials and methods: A systematic review was conducted in PubMed to identify articles with information regarding the development process, metric properties, and administration issues of shoulder-specific patient-reported outcome measures. Two experts independently reviewed all the articles identified for one instrument and applied the EMPRO (Evaluating Measures of Patient Reported Outcomes) tool, which was designed to assess the quality of attributes in a standardized way. An overall EMPRO score and 6 attribute-specific scores were calculated (range, 0-100) to describe the quality of instrument performance. Results: We identified 11 instruments and 112 articles (2-30 articles per instrument). The American Shoulder and Elbow Surgeons (ASES) shoulder assessment, Simple Shoulder Test (SST), and Oxford Shoulder Score (OSS) were the best rated, with overall scores of 77.4 points, 72.6 points, and 69.7 points, respectively. They have been shown to be valid, reliable, and responsive, with a low administration burden. Acceptable results were also found for the Flexilevel Scale of Shoulder Function, Shoulder Pain and Disability Index, and Dutch Shoulder Disability Questionnaire, but some of their attributes need further evaluation. Conclusions: Current evidence supports the use of the ASES, SST, or OSS. We recommend the SST for longitudinal studies or clinical trials, the Dutch Shoulder Disability Questionnaire for clinical practice to minimize administration burden, and the ASES or OSS to discriminate among patients' or groups' evaluations at one point of time. © 2014 Journal of Shoulder and Elbow Surgery Board of Trustees.Department of HealthGovernment of the Basque Country, Spai

An Interactive Approach for Exploration of Flows Through Direction-Based Filtering

This paper is concerned with the representation and exploration of flows, defined as spatial interactions between geographic locations. Flows are challenging to display in a comprehensible manner due to the nature of the data, which are characterized by many crossings and overlaps leading to clutter. A number of different strategies have been suggested for addressing this problem, which commonly involve reducing the search space, aggregating the data or simplifying the representations often at the cost of information loss or distortion of spatial context. We propose an interactive approach for exploring large and highly connected networks of flows without distorting the geographical space and without losing the context overview in the process. The approach is based on a flow-specific interaction technique for filtering the data by direction, that enables an analyst to successively identify underlying spatial arrangement patterns. We illustrate our approach through exploring flows of tourists and locals in the Greater London area

The situational conditions of suicide in transit environments : An analysis using CCTV footage

Introduction: We explore the use of CCTV footage to map suicidal self-injurious behavior on a subway platform to better understand the settings and the situational conditions of individuals just before they attempt suicide. Methods: We use footage from CCTV cameras for gaining new insight into the situational conditions that relate to suicidal self-directed violence in the transit system in Stockholm, Sweden. We adopt a space-time budget template to record, step-by-step, what happens over time as individuals on the platform wait for an incoming train. The analysis applies visualization tools (VISUAL-TimePAcTS) and uses a cross-over design to identify risk factors associated with suicide. Results: Findings show that suicide risk varies both temporally and spatially. Among all types of possible behaviors and places, being close to the edge of the platform of the opposite direction of the train and crossing the security line – this behavior and place combined – are associated with increased risk of suicide. Conclusions: We confirm that using CCTV footage as data source provides valuable insight into relevant situational conditions in which suicides take place, which can be useful to inform prevention strategies, particularly information about behavior and place combined. The article concludes by reflecting upon the importance of these results for future research.QC 20210305</p