Exploratory spatio-temporal visualization: an analytical review

  title={Exploratory spatio-temporal visualization: an analytical review},
  author={Natalia V. Andrienko and Gennady L. Andrienko and Peter Gatalsky},
  journal={J. Vis. Lang. Comput.},
Interactive analysis of event data using space-time cube
The technique of space-time cube, which has been earlier proposed for the visualization of movement in geographical space, possesses the required properties, but it must be implemented so as to allow particular interactive manipulations: changing the viewing perspective, temporal focusing, and dynamic linking with a map display through simultaneous highlighting of corresponding symbols.
Cartographic visualization of human trajectory data: overview and analysis
This analysis addresses the main properties associated with (human) trajectory data, the main types of visualisation tasks/objectives that the users may require in order to analyse that data and the high-level classes of techniques for visualising trajectory data.
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)
The research reported here integrates computational, visual and cartographic methods to develop a geovisual analytic approach for exploring and understanding spatio-temporal and multivariate patterns that leverages their independent strengths and facilitates a visual exploration of patterns that are difficult to discover otherwise.
A spatio-temporal aquarium for visual exploration on geographic phenomena
This paper introduces a spatio-temporal aquarium to facilitate detecting and analyzing changes and processes in geographic phenomena, and develops some more approaches to help the analyst to do visual exploration using the aquarium.
It is hypothesize that the addition of 3D terrain visualisations along with appropriate data plots and two-dimensional views can help improve the analysts’ ability to interpret the spatial relevance better and indicate that analysts consider the linked views to be potentially very beneficial and they appreciate seeing the data in its spatial context.
Towards a flexible system for exploratory spatio-temporal data mining and visualization
This framework includes new techniques to efficiently support the data-mining process, address the spatial and temporal dimensions of the dataset, and visualize and interpret results, and has developed two complementary 3D visualization environments based on Google Earth and a Java3D graphical user interface.
Visualizing Spatio-Temporal data
This dissertation presents a novel visualization technique called Storygraph which supports bottom-up discovery of patterns and can handle spatio-temporal uncertainty making it ideal for data being extracted from text.
Explore Multivariable Spatio-Temporal Data with the Time Wave: Case Study on Meteorological Data
A conceptual framework that combines user tasks, available temporal data and visualization theories to discuss temporal visualization is introduced, improved by introducing the time wave environment which is a close combination of temporal graphic representation and temporal interactive tools, and operates in so-called time space.
Supporting the Process of Exploring and Interpreting Space–Time Multivariate Patterns: The Visual Inquiry Toolkit
A visual analytics approach that leverages human expertise with visual, computational, and cartographic methods to support the application of visual analytics to relatively large spatio-temporal, multivariate data sets is developed.
The Time Wave. A New Method of Visual Exploration of Geo-data in Time–space
This time-visualisation approach considers the data, the user tasks and the visualisation representations, and aims to improve accessibility, exploration and analysis of huge amounts of geo-data to support geovisual analytics.


Visualization of spatio-temporal information in the Internet
This work implements a kind of mapping in a collection of Java applets designed for various types of spatially referenced time series data: occurrences of events, movement of objects in space, and statistical data referring to parts of territory.
Monitoring Change: Characteristics of Dynamic Geo-spatial Phenomena for Visual Exploration
  • C. Blok
  • Computer Science
    Spatial Cognition
  • 2000
Characteristics of dynamic geo-spatial phenomena for visual exploration are reported on to evaluate whether dynamic visualisation variables can be used to prompt thinking about the processes at work and about spatio-temporal relationships by domain experts who perform monitoring tasks.
A task analysis approach to the visualization of geographic data
The conclusions drawn from the research indicate that visualization techniques can indeed be of assistance to geographers but that the functions of generic SVSs must be tailored and enhanced, as indicated by the requirements list, for their full value to be realized.
Interactive maps for visual data exploration
The cartographic knowledge of Descartes allows non-cartographers to receive proper presentations of their data, and the automation of map construction helps the users to save valuable time that can better be used for data analysis and problem-solving.
Exploring spatial data representation with dynamic graphics
Spatio - temporal maps and cartographic communication
A map user test indicates that although the correctness of answers is not influenced by the type of map (i.e. static or animated), the users perceive faster from animated map displays.
Geobrowsing: Creative Thinking and Knowledge Discovery Using Geographic Visualization
A central issue is how to design visualization capabilities that facilitate creative thinking for discovering previously new information from large databases, and the authors propose the term 'geobrowsing' to designate this process.
Exploring Changes in Census Time Series with Interactive Dynamic Maps and Graphics
A system that combines interactive thematic maps, dynamic statistical graphics, and advanced controls for manipulating them is proposed, specifically designed in order to support visual investigation of changes in data.
Developing a Geographic Visualization Tool to Support Earth Science Learning
It is concluded that the level of the visualization system must be well matched to the knowledge users have about the application domain: students who already possessed an advanced understanding of meteorology or climatology benefited less and were more critical of the system than students with an intermediate or a novice level of understanding.