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Geospatial visualization with VisTracks

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Abstract Recently with the widespread emergence of personal navigation devices and growth of mobile networks, large quantities of time‐stamped, location data have become available. To analyze real‐time spatial movement data, we have developed a Web 2.0 platform called VisTracks®. The platform includes spatial servers for generating maps, performing navigation, and tracking moving assets and a flexible Silverlight visual analytics web client. Using VisTracks, it is possible to develop rich visual analytics web applications for understanding location, movement, tracking, and analytics through time. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization

VisTracks browser‐based geospatial client. The left image shows real‐time vehicle tracking with live imagery from the vehicle and the right image shows spatial–temporal analysis of subway crime locations on the map, on the timeline and summarized in the linked analysis charts.

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Analyzing historical incidents and calculating the safest route from the Airport to the US Embassy for a diplomat.

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Five layers combined into a composite image tile with varying translucency.

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VisTracks technical architecture includes both web clients and hosted servers.

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Selections and tooltips propagate among the linked visual components, map, and timeline.

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Options for live data feeds to set the polling rates and item fade out period.

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Sweep selecting a time range highlights the locations of these items on the map.

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Overview and detail timelines are synchronized to show multiple timescales.

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Dynamic timeline displays RSS items. The timeline is linked to the map and other visual components and automatically pans when new items become available.

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Left: ingesting GeoRSS feeds as layers. Right: analysts may override the default styling of the items embedded in the feed.

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GeoRSS items with thincml drawing styles.

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VisTracks Silverlight web client with map layers and data sources plug‐ins.

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