Overview

To make sense out of volumes of complex data, many different organizations face a common challenge. That is to map events geographically across time.

For example:

• A police department needs to map where crimes occur - at this moment and historically - by neighborhood, by type of crime, by police officers nearby, and other criteria.
• An insurance company needs to map where weather events occur - at this moment and historically - by city, by region, by type of event, by loss amount, and other criteria.
• A TV network needs to map viewers - this week and historically - by show watched, by household income, by zip code, by age, and other criteria.

In these and many other examples, the applications are different and the types of data are different but the basic problem is the same.

Users need to:

• Display events on a map based on user-selected filters (like location or event type) to easily reveal patterns, trends, and areas of greatest or least interest.
• Auto-discover properties they can apply as filters to people, events, locations, and other entities
• Drill down to see the composition of data across regions - such as type of crime (e.g., assault) versus sub-type (e.g., motor vehicle) versus location (e.g., zip code) - by invoking successively more granular pie charts
• Display and manipulate timelines relevant to the data being presented to reveal trends filtered by time range
• Modify view options for more revealing visualizations - such as by adding (as individual layers) data points, polygon regions, or heat maps
• See how data maps change in real time in response to events as they occur

Now organizations - even in different application domains - have one fast and efficient way to visualize patterns and trends based on location and time. It's called LaunchPAD.

Here's what LauchPAD does that other visualization solutions can't

Works easily across a wide variety of applications and data sources

LaunchPAD was built on a services oriented componentized web based architecture. So, for example, LaunchPAD visualizes any GeoRSS-compliant feed containing time and location based data. LaunchPAD also works with a wide variety of data types (from map tiles to spatial queries) and also integrates with leading third-party geo-information services like ESRI's ArcWebServices, ArcIMS, and ArcGIS Server.

Automatically builds the visualizations

Simply point LaunchPAD at the data source and LauchPAD automatically

• Draws the appropriate on-screen maps
• Identifies data filtering criteria
• Presents the appropriate on-screen controls for displaying and manipulating layers, timelines, and data point drilldowns

Works with any Flash-enabled web browser (98% of all web browsers)

This allows ubiquitous application deployments while avoiding the need to build and support complex and resource-intensive client side code.

Captures real time data updates

Because it employs Adobe LiveCycle Data Services, your LaunchPAD visualization doesn't need to constantly query data sources for changes - saving server resources and scarce bandwidth, which is especially critical over wireless links. Updates are automatically "pushed" by the server when, but only when, they occur.

top