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 …

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 …

During the last few years, databases have been growing in size, varieties of data, numbers
of users and diversity of applications. Many such applications deal with data characterized …

Time is an exceptional dimension with high relevance in medicine, engineering, business,
science, biography, history, planning, or project management. Understanding time-oriented …

The need for pattern discovery in long time-series data led researchers to develop
interactive visualization tools and analytical algorithms for gaining insight into the data. Most …

This paper introduces a new approach for visualizing multidimensional time-referenced data
sets, called Circle View. The Circle View technique is a combination of hierarchical …

Time-varying data is usually explored by animation or arrays of static images. Neither is
particularly effective for classifying data by different temporal activities. Important temporal …

Visual representations of time-series are useful for tasks such as identifying trends, patterns
and anomalies in the data. Many techniques have been devised to make these visual …

We review a range of temporal data visualization techniques through a new lens, by
describing them as series of op-erations performed on a conceptual space-time cube. These …

We present the generalized space‐time cube, a descriptive model for visualizations of
temporal data. Visualizations are described as operations on the cube, which transform the …