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In this short paper, we want to give a brief introduction, how we solved the 2015 VAST challenge. The main goal was to explain the crime which happens in a theme park world called Dinofun. The provided data set contains communication and movement data for a three day weekend. During the time Scott Jones, a famous fictive soccer star celebrates his successes in the park. At one point some criminals...
In streaming acquisitions the data changes over time. ThemeRiver and line charts are common methods to display data over time. However, these methods can only show the values of the variables (or attributes) but not the relationships among them over time. We propose a framework we call StreamVisND that can display these types of streaming data relations. It first slices the data stream into different...
Missing values are a problem in many real world applications, for example failing sensor measurements. For further analysis these missing values need to be imputed. Thus, imputation of such missing values is important in a wide range of applications. We propose a visually and statistically guided imputation approach, that allows applying different imputation techniques to estimate the missing values...
Weather Research and Forecasting (WRF) models simulate weather conditions by generating 2D numerical weather prediction ensemble members either through perturbing initial conditions or by changing different parameterization schemes, e.g., cumulus and microphysics schemes. These simulations are often used by weather analysts to analyze the nature of uncertainty attributed by these simulations to forecast...
Gaining insights from large amount of movement data is one of the biggest challenges in management and decision making support. This paper presents a safety-oriented visual analytics approach emphasising kids' safety to identify various semantic groups from people movement data in a park. Notable differences of people movement among sites are also discovered in the visual analytics.
The 2015 VAST challenge features movement tracking (Mini- Challenge 1 (MC1)) and communication information (Mini- Challenge 2 (MC2)) datasets of all visitors in an amusement park over a three-day weekend. The data includes around 25 million individual movement records, along with 4 million communication records. Analyzing and exploring such large-scale datasets require intelligent data mining methods...
In this paper, we present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the...
This paper describes our approach and tools used to solve this year's VAST 2015 Mini-Challange 1 (MC1). It also explains how we came up with the idea for a new tool created for solving of the challenge and how this tool helps the user analyzing the data. Further, preprocessing steps will be discussed and how new features were created to be able to cluster guests in goups walking together. Finally...
We present a new visual analysis approach to support the comparative exploration of 2D vector-valued ensemble fields. Our approach enables the user to quickly identify the most similar groups of ensemble members, as well as the locations where the variation among the members is high. We further provide means to visualize the main features of the potentially multimodal directional distributions at...
Architects working with developers and city planners typically rely on experience, precedent and data analyzed in isolation when making decisions that impact the character of a city. These decisions are critical in enabling vibrant, sustainable environments but must also negotiate a range of complex political and social forces. This requires those shaping the built environment to balance maximizing...
The VAST 2015 Grand Challenge focused on a fictional park called DinoFunWorld where visitors are provided with a handheld device for communicating with park patrons and registering their visits to rides. Our goal was to develop a visual analytics system to help explore the spatiotemporal movement and communication data of the park patrons. Specifically, we wanted was to determine which patrons were...
This paper describes an advanced set of methods used to analyze and visualize group behavior in the VAST 2015 MC1 challenge data. The MC1 challenge was to characterize visitor groups based on the movement and check-in data. We describe different analysis and visualization methods used to identify the groups of visitors based on co-occurrence and colocation of visitors within the park. Based on the...
We designed and implemented an ad-hoc system, VAST Challenge 2015 Solver (i.e. Solver), that integrates both the movement (MC1) and the communication data (MC2) as a whole to seek answers to the questions of VAST Challenge 2015 . The Solver presents linked visualization across multiple views to provide the user with a strongly interactive analysis environment. Targets and patterns can be easily traced...
Using transport smart card transaction data to understand the homework dynamics of a city for urban planning is emerging as an alternative to traditional surveys which may be conducted every few years are no longer effective and efficient for the rapidly transforming modern cities. As commuters travel patterns are highly diverse, existing rule-based methods are not fully adequate. In this paper, we...
There are often multiple routes between regions. Many factors potentially affect driver's route choice, such as expected time cost, length etc. In this work, we present a visual analysis system to explore driver's route choice behaviour based on taxi GPS trajectory data. With interactive trajectory filtering, the system constructs feasible routes between regions of interest. Using a rank-based visualization,...
The VAST Challenge has been a popular venue for academic and industry participants for over ten years. Many participants comment that the majority of their time in preparing VAST Challenge entries is discovering elements in their software environments that need to be redesigned in order to solve the given task. Fortunately, there is no need to wait until the VAST Challenge is announced to test out...
Spinel group minerals are excellent indicators of geological environments (tectonic settings). In 2001, Barnes and Roeder defined a set of contours corresponding to compositional fields for spinel group minerals. Geologists typically use this contours to estimate the tectonic environment where a particular spinel composition could have been formed. This task is prone to errors and requires tedious...
In this summary, we propose ParkVis, a visual analytic system for monitoring movement tracking information for all of the paying park visitors. With various visualizations, our system can identify different kinds of traveler behaviors in the park, thus help park officers to segment the population and discover notable differences in the patterns of activity in the park.
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