Visualization of Linear Time-Oriented Data: A Survey (original) (raw)

Towards a Flexible Visualization Tool for Dealing with Temporal Data

Lecture Notes in Computer Science, 2006

Time plays an important role in our everyday's life. For a lot of observations we make and actions we perform, temporal information is relevant. The importance of time is reflected in the development of information systems as, e.g., (temporal) database systems and data warehouse systems, which have facilities to cope with temporal data and usually manage huge collections of historical data. It is a challenge to develop intuitive user interaction tools that allow users to fully explore these collections of temporal data. With this paper, we want to contribute to the development of such a tool. The presented approach is based on a visualization of time intervals as points in a two-dimensional space and on temporal reasoning based on this visualization. Flexibility is provided by allowing to cope with imperfections in both the modelling of time and the temporal reasoning.

Visual Methods for Analyzing Time-Oriented Data

IEEE Transactions on Visualization and Computer Graphics, 2008

Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue in many application domains. In this paper, we focus on the unique role of the parameter time in the context of visually driven data analysis. We will discuss three major aspects -visualization, analysis, and the user. It will be illustrated that it is necessary to consider the characteristics of time when generating visual representations. For that purpose we take a look at different types of time and present visual examples. Integrating visual and analytical methods has become an increasingly important issue. Therefore, we present our experiences in temporal data abstraction, principal component analysis, and clustering of larger volumes of time-oriented data. The third main aspect we discuss is supporting user-centered visual analysis. We describe event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users.

Multiple Visual Representation of Temporal Data

Lecture Notes in Computer Science, 2002

Temporal data are abundantly present in many applications such as banking, financial, clinical, geographical applications and so on. For a long time, tools for data analysis have been only based on statistics. A more recent and complementary research avenue involves visual data analysis, which is dedicated to the extraction of valuable knowledge by exploiting human visual perception capabilities. Examples of visual data analysis tasks, while manipulating temporal data, include correlating data evolution and identifying patterns. In this paper we present an interactive visualisation tool named INVEST, dedicated to visual analysis of temporal data. INVEST includes different visualisation techniques in order to address the variety of users' tasks.

Challenges in Interactive Time-Based Information Visualization

This research paper tries to raise some key questions in the quest for interactive time-based information visualization. Since our ultimate goal is to specify and develop a web-based system for this task that will most likely be a mashup using existent geographical data, we first explain and discuss mashups. We then try to identify a number of use cases for such a system, followed by a state of the art overview. We then try to devise a categorization for the display of and interaction with time-based geospatial data, and close with a discussion of particular challenges identified in the context of the project described in this paper.

Visualizing time-oriented data—A systematic view

Computers & Graphics, 2007

The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand.

Towards a conceptual framework for visual analytics of time and time-oriented data

Simulation …, 2008

Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analysis and visualization to explore trends, patterns, and relationships in different kinds of time-oriented data. The human perceptual system is highly sophisticated and specifically suited to spot visual patterns. For this reason, visualization is successfully applied in aiding these tasks. But facing the huge volumes of data to be analyzed today, applying purely visual techniques is often not sufficient. Visual analytics systems aim to bridge this gap by combining both, interactive visualization and computational analysis.

The History of Temporal Data Visualization and a Proposed Event Centric Timeline Visualization Model

International Journal of Computer Applications, 2013

Temporal data management has an ancient history. From the earliest days people are using timeline (a way of displaying a list of events in chronological order) to record their transaction data in a log file or table and often those files or tables are used by researchers to understand the events or trends of the transaction. The first attempt to illustrate chronological events graphically was made in 1765 and presently timeline is used ubiquitously. This paper attempts to explain the history and present state of timeline visualization and proposes a timeline visualization model that provides a new perspective on the existing models. We showed the development of timeline visualization of temporal data over decades, evaluated different techniques, connected and presented them in sequential order to justify the importance of our proposed technique. Our study is structured in three parts: First we discussed different methods of management and visualization of temporal data, then we showed the history and current state of timeline visualization and finally we proposed a timeline visualization technique. 1

Comparing Information Visualization Tools Focusing on the Temporal Dimensions

2008 12th International Conference Information Visualisation, 2008

Empirical comparisons and categorizations of information visualization tools lack important considerations: the former undervalue the need for a theoretical background, and the latter tend to have too much distance from the user because they do not consider definite user tasks. Therefore, our work combines these approaches and presents the results of both a qualitative evaluation and a recently published categorization. We focus on the visualization of temporal data and reveal that current tools realize only a small part of the visualization possibilities in this field. Abstract Abstract Abstract/Spatial Reference Spatial Spatial data can be explored.

Customizable Time-Oriented Visualizations

Most commercial visualization tools support an easy and quick creation of conventional time-oriented visualizations such as line charts, but customization is limited. In contrast, some academic visualization tools and programming languages support the creation of some customizable time-oriented visualizations but it is time consuming and hard. To combine efficiency, the effort required to develop a visualization, and customizability, the ability to tailor a visualization, we developed time-oriented building blocks that address the specifics of time (e.g. linear vs. cyclic or point-based vs. interval-based) and consist of inner customizable parts (e.g. ticks). A combination of the timeoriented and other primitive graphical building blocks allowed the creation of several customizable advanced time-oriented visualizations. The appearance and behavior of the blocks are specified using spreadsheet-like formulas. We compared our approach with other popular visualization tools. Evaluation showed that our approach rates well in customizability.

Visual Exploration of Spatial-Temporal Database

Brazilian Symposium on GeoInformatics, 2003

Abstract. Visualization research deals with the use of graphical models to represent data, coupled with suitable interaction operations that support an active user exploration of the data representations. Visualization techniques can greatly enhance knowledge discovery processes involving geo-referenced data, and the study of visual displays to assist users of geographic information, which typically includes spatial and temporal attributes, motivates developments