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Senior Crime Analyst Toni Nunez presents her work on how LA Clear uses GeoTime to analyze and prepare CDR records for court room presentation. This video covers the mapping of cell site data as part of homicide investigations.
International Network of Analysis of reported crime incidents, looking for series of events that may be linked. In this scenario, we search for key terms such as the color of a van, seen close to a number of robberies. With this sub-set of crimes selected, we perform visual analysis of the locations and times to see if they can be linked together.
Cell site analysis as part of a criminal investigation into a suspected drug trafficing suspect.
GeoTime 5.3 is the first ever 64bit release of GeoTime. Take advantage of systems with larger memory and import large data sets previously not possible in past releases. This is useful for importing large data sets, allowing the user to segment and manage their data within GeoTime's viewer.
New in GeoTime 5.3 is the addition of the CDR Import Wizard for import Call Detail Records and other communication records. The new wizard supports the majority of CDR formats used today and helps analysts get call records loaded quickly for cell site analysis
GeoTime 5.3 provides even better ways to create and import shapes, that can be used for markup, data aggregation and GeoCharting. Map Graphics can be imported from an external file (such as Shapefiles), as well as draw by the user. Users can now draw paths within GeoTime to measure distances and routes between two points.
New in GeoTime 5.3 is the GeoCharts tool for showing visual summaries of your data. This is useful when you need to show counts, max values, etc. in concert with location and time information. GeoCharts takes advantage of map graphics within GeoTime, allowing users to setup "hot spot" like graphic overlays on to of their map imagery.
New in GeoTime 5.3 is the addition of the Interesting Location Finder, which assist analysts in finding locations that get frequent visits by one or more individuals over time. This can be useful when looking for meeting places, high traffic areas, popular sites, etc.
New in GeoTime 5.3 are enhancements to both the Meeting Finder and Proximity Finder tools. These two pattern finding tools are useful for detecting events and movements that are close to regions or polygonal shapes on the map.
In this video, we will be working with a data set recorded in the Canadian Rockies (Marmot Basin to be exact!). One of our GeoTime Team members used a GPS device to record a portion of their day skiing the slopes. What was great was that the device captured their altitude, which we allowed us to show their movement up and down the slopes over time. For analysis, we wanted to understand where they spent most of their time skiing and show that on the map, in a heatmap type display. To accomplish this, we divided the hill into four areas or regions using map graphics and then summarized the number of events in each one, which in turn determined the color of these regions. The darker the color, the more time the skier spent in that region. What's great is that you can drive these map graphics with any data that a user imports, which is really useful for doing crime series analysis, fraud reporting and customer visit heatmaps
Ever wonder what Santa's voyage looks like on a map? We sure did. We made some assumptions on how Santa plans his route, mainly that he would start with the most populated countries and work his way down the list. We are sure that it isn't the most efficient routing possible but it certainly would allow him to deliver to the most children possible in the short period of time that he has. Watch a video of Santa in action.
This video looks at how you import data from ArcGIS 10 into GeoTime.
Investigating a homicide involving a taxi, multiple data sources are used including GPS locations and radio communications from dispatchers. These different data types are merged into a single visualization to help us analyze the movement and communications of the four closest taxis in order to determine which one of them is most likely responsible for the hit and run homicide.
Investigation of a suspicious ship off the coast of California, suspected of importing illegal cargo into the U.S. This video demonstrates how location information from the vessel can be used to identify patterns and behaviors, which help to support ongoing investigations.
Visual analysis at a military base using audio sensor data to detect both known and unknown entities. This demonstration shows both security patrols of the military base's perimeter, but also the movement of unknown entities that penetrate the base's defenses.
Looking at records obtained from terrorist communications, this investigation looks at who might be responsible for an IED explosion.
Visual analysis of maritime piracy events, looking at both historical events of piracy activity, in combination with political/economic factors.Data sources used include reported piracy activities, public news feeds and intel reports.
A visual analysis of oil spill data from the LA Bucket Brigade community site. Reported events such as "oil in the water" or "oil on land" are shown over time. There are clear patterns visible in the data as the oil spill fanned out across the shoreline.
Learn how to quickly clean up and validate data taken from a commercial GPS device (Garmin, iPhone, etc.) GPS data can contain data that is incorrectly positioned or has jumps/gaps that need addressing. GeoTime helps you quickly identify these issues in order to validate your data.
Take a look at how GeoTime is used to examine financial transactions as part of a money laundering investigation.
Looking at where and when financial transactions occur to spot structuring patterns. This data set is 6 weeks of transactions from an individuals Bank of America checking account.
What better way to map movement then with a group of GIS fanatics running 5km along the coast line of the Pacific Ocean? At this year's 5km Fun Run/Walk event, you are invited to record your run/walk and submit it to the RunTime 2011 Team. Everyone's run will be assembled together and posted to the group to share after the show. What can we learn from everyone's movement data assembled together?
Using GeoTime's 3D viewer to visualize crime incident data from the city of San Francisco, we are able to locate high value crimes that are within close proximity to security cameras, to help located suspects.
New features and enhancements in GeoTime 5.2 from Oculus.
GeoTime's new 2D networks visualizer introduces a paradigm shift for visualizing networks of non-geographical events and links over time. The addition of GeoTime Networks enables data visualization and analysis of non-geospatial data, such as computer networks, workflow and process graphs, social networks, etc. * Easily create 2D network graphs showing links and relationships between entities and locations. Easily change the layout of your network graphs with pre-defined layouts, or adjust the nodes of your graph manually. * Send network graphs to the 3D Time Viewer to show link events play back over time. GeoTime Networks is fully integrated with GeoTime's charting, pattern and reporting tools.
GeoTime 5.1 introduces supports ESRI ArcGIS 10 with a new extension built exclusively for ArcGIS 10. * GeoTime is even more tightly integrated with ESRI's flagship GIS product, making it easier for bi-directional workflows. * Support for projected map imagery with on the fly re-projection of map imagery from ArcGIS eliminates the need to re-project maps in ArcGIS in order to display them in GeoTime.
With vast amounts of valuable communications data being captured daily, the ability to visualize and analyse these interactions has become increasingly important to law enforcement agencies. The time, location and frequency of communications activity can reveal a great deal about an individual or organized group. In this scenario we examine the Call Detail Records (CDR) of a suspect caught with a stockpile of illegal fire arms. Investigators hope to identify the source of the weapons through the call activities of their suspect. Using GeoTimes communication and link analysis tools, we discover that the arms dealer we are looking for has been operating behind a group of front men, helping him to elude authorities...until now.
Crime trending through cluster and hotspot analysis has become standard practise as part of most crime analysts toolkit. But with need for increased operational efficiency, commanders and chiefs require insight into the activities of their current efforts. In this scenario, we look at the effectiveness of a routine police patrol by merging Automated Vehicle Locator (AVL) data from a patrol car with standard crime incident reporting data. The result is a clear metric on what changes are required to increase the impact of this patrol in reducing crime in the area.
A brief visual analysis of H1N1 cases around the globe.