Abstract: Disclosed herein is a visual analytics system and method that provides a proactive and predictive environment in order to assist decision makers in making effective resource allocation and deployment decisions. The challenges involved with such predictive analytics processes include end-users' understanding, and the application of the underlying statistical algorithms at the right spatiotemporal granularity levels so that good prediction estimates can be established. In the disclosed approach, a suite of natural scale templates and methods are provided allowing users to focus and drill down to appropriate geospatial and temporal resolution levels. The disclosed forecasting technique is based on the Seasonal Trend decomposition based on Loess (STL) method applied in a spatiotemporal visual analytics context to provide analysts with predicted levels of future activity.

Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.

Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.

Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage.

Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.

Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage.

Abstract: A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.

Abstract: Disclosed herein is a visual analytics system and method that provides a proactive and predictive environment in order to assist decision makers in making effective resource allocation and deployment decisions. The challenges involved with such predictive analytics processes include end-users' understanding, and the application of the underlying statistical algorithms at the right spatiotemporal granularity levels so that good prediction estimates can be established. In the disclosed approach, a suite of natural scale templates and methods are provided allowing users to focus and drill down to appropriate geospatial and temporal resolution levels. The disclosed forecasting technique is based on the Seasonal Trend decomposition based on Loess (STL) method applied in a spatiotemporal visual analytics context to provide analysts with predicted levels of future activity.

Abstract: A system and method for visually displaying and analyzing criminal and/or public health and safety data for geospatial and/or time variations, including the collection of incident data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method and displaying the result to a user via a visual analytics arrangement.

Abstract: A system and method for visually displaying and analyzing criminal and/or public health and safety data for geospatial and/or time variations, including the collection of incident data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method and displaying the result to a user via a visual analytics arrangement.