Goal of our project CSX (City Stats X) is to program a generic interface to visualize and present social data about a city. We will present this on the example of the city of Linz in Austria.
The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.
Analysis and interactive visualization of a web-based community. Supports different focuses on the given social network to present community groups to the user. Also specific information of each member is provided.
Integrate large databases of points with Google Maps without overloading db or client browser. Server-side example in simple PHP with server & client side caching, easily portable. Data loaded in chunks and when zoomed an area overview is shown. Simple D
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The Crosswise project is a web-based community event calendar that adds modular data analysis and visualization, and communication methods, to provide community organizations with a powerful event planning, collaboration and analysis tool.
MetriVis is a client/server toolkit developed at the ETH Zurich. It's main purpose is to plot Netflow data (network flow information) on a webclient using an xy graph. It may be used to visualize any xy data. It has a Google-Maps style user interface.
The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.
PHP Interview System is a easy-to-use research system to build complex survey(s), interview(s) and poll(s). The interview can be dynamic (interactive) flow. Collect and react on input. Export data for analysis.
Multi-user online service implementation for web-based factory modeling. Rich user interface and scalable backend system to build online simulation services on or do other processing of factory data. Demo at https://fabriksimulation.ipa.fraunhofer.de
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