|Developer(s)||Oculus Info Inc.|
|Initial release||May 18, 2005|
|Stable release||5.5 / April 28, 2013|
|Operating system||Microsoft Windows, XP, Vista, Windows 7, Windows 8, Mac OS X Lion, OS X Mountain Lion|
|Type||Geographic information system|
|License||Proprietary commercial software|
GeoTime is geospatial analysis software that allows the visual analysis of events over time. It adds time as the third dimension to a two-dimensional map (which can include 3D projection of terrain elevation geodata or any abstract diagrammatic space), allowing users to see changes within time series data. Users can view real-time animated playback of data and use automated analysis tools within the software to identify location patterns, connections between events, and trends.
GeoTime can import data in many formats, such as GPX, Shapefile, KML, Microsoft Excel, CSV, geotagged photos, and from live data sources via GeoRSS and RSS web feeds and WMS servers. It supports most telecommunication carrier reporting formats (CDR), including tower/sector information. These features allow users to aggregate data from satellites, mobile phones, social networking web sites, web server logs and many other sources. GeoTime can export data to other GIS software such as Google Earth and ESRI ArcGIS via KML format, and to other applications via CSV, as well as capture video of data animations. An ArcGIS extension is available that allows GeoTime to work alongside the popular ArcGIS geographic information system with bi-directional data sharing between the two programs.
GeoTime has been used by professionals in public safety (including metropolitan police and emergency management), telecommunications, academic research, healthcare and human services, and the U.S. military. It has been used to analyze data from sources as diverse as downhill skiing, influenza monitoring, and GPS wildlife tracking. A list of customers is available on the GeoTime web site.
Lawyers and privacy campaigners have questioned whether innocent individuals may be tracked by the software, which has been likened to a computer programme in the science fiction film Minority Report.
- Geographic information system#Adding the dimension of time
- Telecommunications data retention
- Time geography
- "Oculus GeoTime™ Enables Visualization for Concurrent Spatial and Temporal Analysis". Oculus Info Inc. 18 May 2005. Retrieved 29 May 2013.
- "Announcing Oculus GeoTime 5.5 for Law Enforcement". Oculus Info Inc. 28 April 2013. Retrieved 29 May 2013.
- "GeoTime: System Requirements". Oculus Info Inc. Retrieved 29 May 2013.
- "GeoTime Overview - Oculus". Oculus Info Inc. Retrieved 29 May 2013.
- "GeoTime: Features". Oculus Info Inc. Retrieved 29 May 2013.
- "GeoTime for ArcGIS". Oculus Info Inc. Retrieved 29 May 2013.
- "GeoTime ArcGIS Compatibility". Oculus Info Inc. Retrieved 29 May 2013.
- "GeoTime: Industries". Oculus Info Inc. Retrieved 29 May 2013.
- "Analysis of GPS data from a downhill skier - new feature sneak peek". Oculus Info Inc. 30 January 2012. Retrieved 29 May 2013.
- "Demos: Tracking the H1N1 (Swine Flu) Pandemic". Oculus Info Inc. Retrieved 29 May 2013.
- "US Geological Survey - wildlife tracking analysis webinar". Oculus Info Inc. 5 April 2012. Retrieved 29 May 2013.
- "GeoTime: Customers". Oculus Info Inc. Retrieved 29 May 2013.
- "Campaigners angry at new British police tracking system". Wikinews. 12 May 2011. Retrieved 29 May 2013.
- Eccles, Ryan; Kapler, Thomas; Harper, Robert; Wright, William (Spring 2008). "Stories in GeoTime". Information Visualization 7 (1): 3–17. doi:10.1057/palgrave.ivs.9500173.
- Kapler, Thomas; Wright, William (June 2005). "GeoTime information visualization". Information Visualization 4 (2): 136–146. doi:10.1057/palgrave.ivs.9500097.
- Neuhaus, Fabian (2011). Studies in temporal urbanism: the urbanTick experiment. Dordrecht; New York: Springer. doi:10.1007/978-94-007-0937-9. ISBN 9789400709362. OCLC 747105206.
- Nunez, Toni (November 2013). "Tracking criminals with cell tower analysis". Cityscape: A Journal of Policy Development and Research 15 (3): 249–250.
- Proulx, Pascale; Tandon, Sumeet; Bodnar, Adam; Schroh, David; Harper, Robert; Wright, William (2006). "Avian flu case study with nSpace and GeoTime". In Wong, Pak Chung; Keim, Daniel A. VAST, IEEE Symposium on Visual Analytics Science and Technology, 2006: proceedings, Baltimore, Maryland, USA, October 31–November 2, 2006. Piscataway, NJ: IEEE. pp. 27–34. doi:10.1109/VAST.2006.261427. ISBN 1424405912. OCLC 85811533.
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