GeoTime - Geo-Temporal Information Visualization - Features Benefits

By: Geotime  09-12-2011
Keywords: Software Tool, Visual Analysis

GeoTime. Because Time Matters.

As the rate in which data collection increases, an increasing burden is placed on analysts who are tasked with locating, analyzing and reporting on the mountains of disparate data readily available to them.
Data visualization and analysis tools that were effective in handling simple tasks, such as generating charts and maps, are now being pushed beyond their capabilities and struggle to handle the increasingly complex data that is being captured today.

Although geographical, temporal and link data is often captured using today's data collection systems, this rich metadata is often hard to exploit with existing analytical tools and processes . While most tools focus on a specific dimension or view of one's data (i.e., geography or time), GeoTime's provides a holistic view, showing events and activities unfold over time. GeoTime is the only commercially available software tool for the 3D visual analysis of spatio-temporal data, combining the where, the when and the who. With its patented 3D Time Viewer, GeoTime is able to visualize data from a variety of sources in an interactive display, allowing the user to navigate the data in real-time for rapid visual discovery of patterns and behaviours.

Users are able to watch events and activities unfold over space and time with a fully functional timeline and animated display system. And GeoTime's integrated visual reporting system allows users to easily capture their analysis steps and discoveries, making report creation and publishing fast and efficient.

Specifically designed to enable analysts to visualize movements, communications and relationships over both space and time, the 3D Time Viewer simultaneously displays the geographical location and the time of events. The 3D Time Viewer presents an event's time attribute in the vertical dimension, creating a 3D representation of the data on top of a graphical map. These events are automatically linked together into trails when dealing with entities, showing their movement over time. 

The 3D Time Viewer provides: 

  • Real time display for interactively changing the viewpoint perspective
  • Displays the geographical location and time of events simultaneously
  • Movements over time are represented as trails between events
  • High performance display handles tens of thousands of data points
  • Animated playback of events and activities over time
  • Dynamic geographical map display
  • Interactive filtering and aggregation of data

Moreover, a 2009 study found that for complex questions where the participants needed an overall understanding of a dataset, the GeoTime-type representation resulted in, on average, twice as fast response times. Users also noted it was intuitive, engaging and easy to understand. To read the entire study: 

Kristensson, P.O., et al, IEEE Transactions on Visualization and Computer Graphics, August, 2009.  

GeoTime 5.1 introduces GeoTime Networks, which adds a new 2D network graph view for linked and network data visualization. Links and nodes are displayed in a variety of layout methods and can be manipulated at will by the user. These 2D network graphs can then be sent over to GeoTime's 3D Time Viewer, displaying the temporal dimension of the data. Events and links are displayed over time, revealing patterns and behaviours not visible in 2D visualizations.

Network graph of linked entities shown in multiple layouts

GeoTime's analytical capabilities go beyond visual analysis with a suite of dedicated pattern finding tools, including degrees of separation and connection paths between entities. These tools aide in the rapid discovery and analysis of connected events over time. Links between entities can represent communications, relationships, transactions, message logs, etc. and are visualized over time to reveal temporal patterns and behaviours.

  • Create links between entities, including communications, meetings, relationships and transactions
  • Links displayed visually in the 3D Viewer
  • Analyze entity networks interactively through degrees of separation
  • Discover all connections for a target entity
  • Reveal all links and connections between two or more entities
  • Locate meetings between entities in both space and time

GeoTime supports a wide variety of data formats and sources, with native plug-ins for both ESRI ArcGIS and Microsoft Excel. With GeoTime 5.1 comes support for ArcGIS 10, as well as for the popular GPX data format, supported by most GPS device vendors. GeoTime also provides live data and mapping services support for GeoRSS, ESRI ArcGIS and WMS services.

Data can also be loaded natively by GeoTime via a wide variety of file formats:

  • ESRI ArcGIS Extension for data transfer to GeoTime, live maps link with GeoTime, as well as selection linking between applications. Supports ArcGIS 10 and 9.x
  • Microsoft Excel plug-in for data transfer and selection linking with GeoTime
  • Support for a wide variety of data formats including: .GPX, .XLS, .XLSX, .CSV, .SHP, .KML, .KMZ, .XML, .JPG and .TIF
  • Live data feed handling via GeoRSS
  • Dynamic map display from ESRI ArcGIS, ArcGIS and WMS services
  • Publish visual reports as HTML documentsSend data to Google Earth and ESRI ArcGIS Explorer via KML export

GeoTime can connect to live data feeds, enabling users to visualize the most up to date data available. GeoTime connects to live GeoRSS and RSS feeds, streaming data updates into GeoTime's 3D Time Viewer for visualization of up to date information.

Live data feeds within GeoTime

GeoTime makes importing geotagged photos simple with the ability to import folders of photos, allowing users to easily add valuable location-relevant imagery to their analysis work.

  • Connect to live GeoRSS and RSS web feeds
  • Automatic retrieval and updating of data feeds
  • Combine live feeds with historical data for analysis
  • Easily import geotagged photos for visualization

GeoTime’s animation, charting, aggregation and built-in analysis tools rapidly expose patterns, connections and trends that help analysts to focus on relevant data subsets almost instantly.

Clusters are located within a user defined spatio-temporal window

GeoTime 5.1 introduces the new Stationary Finder tool to its suite of pattern finding tools for quickly locating periods in which entities are considered stationary. GeoTime has a host of analytical tools to help locate patterns and behaviours of interest, from clusters of events to meetings between entities over time.

GeoTime's New Stationary Finder locates entities that are stopped or have limited movement for a period of time
  • Advanced analysis tools that are space-time aware
  • Locate meetings between entities, find clusters of events and detect proximity to targets
  • Error checking and validation with better visual identification, as well as specialized tools for locating data irregularities
  • Segment and group data based on time, locations and user defined attributes
  • Aggregate regions of data to simplify data views
  • Rapid import of geotagged photos for inclusion of relevant imagery in reports
  • Customize the visual appearance of events, including size, color, as well symbology

GeoTime has built in reporting tools that analysts can use capture observations and discoveries made during analysis, making it easy to publish visual reports for distribution to all levels of the analytical and decision making teams.

GeoTime 5.1 expands the scope and depth of reporting with the ability to capture any 3D, 2D or GeoTime Network view of your data. Charts, timelines and network views can also be added to reports, providing additional visual elements to support observations and findings. Reports can include links to external documents and URLs, expanding the scope of reports prepared within GeoTime.

  • Capture 3D perspectives, 2D views, networks and charts for inclusion within reports
  • Link to external documents and URLs from within a report
  • Full text editing capabilities for written observations and notes
  • Bookmark key data views as part of a report
  • Publish complete HTML reports which include both text and captured images from analysis work
Supporting imagery as part of a GeoTime Report, captured during visual analysis

Using interactive presentation tools found within GeoTime, analysts can create visually compelling walk-throughs of the observations and insights collected during analysis.

  • Highlight events of interest with visual outlines and call outs
  • Visually connect event and entity relationships, communications and interactions
  • Add supporting data in the form of visual annotations, such as charts, networks, notes and images
  • Markup tools for drawing directly on the map layer
  • Timeline controls for playback of time ranges to show how events unfold
  • View bookmarking system to interactively step through key perspectives on the data

Keywords: Software Tool, Visual Analysis

Other products and services from Geotime


GeoTime - Geo-Temporal Information Visualization - What s New in GeoTime

With an emphasis on visual presentations, GeoTime 5.2 introduces new ways to visualize events over time, including the ability to run statistical functions on numerical attributes within your data. The new recording feature allows users to easily record animated movement, present visual statistics or walk through a report interactively. Selected events can also be split from an existing entity to create a new entity from that selection.


GeoTime - Geo-Temporal Information Visualization - GeoTime ( )

Known for its 3D Time Viewer, GeoTime’s unique ability to simultaneously visualize geospatial, temporal and link data allows users to see activities and events unfold over time. GeoTime’s patented approach to displaying events over time allows for quick and clear comprehension of movements, communications patterns and links between individuals.


GeoTime - Geo-Temporal Information Visualization - Demos ( )

With a wide variety of data types, formats and quality levels, it is critical to be able to quickly and effectively aggregate, visualize, analyze and react to the data coming from these sources. With the ever expanding use of sensors for security monitoring, the need for effective and timely analysis has become a top priority for organizations that collect and analyze this data.