iGlobe: Interactive Visualization and Analysis of Geospatial Data Sets on a 3D Globe
iGlobe is a unified framework that allows integration of disparate geospatial data sources that include remotely sensed observation data, climate model outputs, population and critical infrastructure data, and provide an interface for both client visual analytics and the sever-side data mining capabilities. We see several benefits of such unified framework for both scientists and policy makers. First, it hides complex transformations that are required to overlay climate variables on geospatial data layers like land use and land cover. Second, it allows visual analytics capabilities where users can directly observe and correlate disparate events, for example, proximity of temperature extremes to the population and precipitation extremes over croplands. Thus the tool is invaluable to scientists, policy makers and general public alike.
Try a demo of iGlobe here. Requires java. Run java -jar Iglobe.jar from the command prompt.
Click here for a short video demonstration of iGlobe. The narrative for the video is available here.
Discussions and questions about iGlobe can be found at the following bulletin board.
iGlobe is available as open source under NASA license.
webGlobe: Bringing NetCDF Data to WebWorldWind
webGlobe harnesses the computing power and flexibility of the cloud in a unique way to allow researchers, policymakers, and the general public to interact with big climate and weather data on their web browser.
Click here for a short video demonstration of iGlobe.
SQUAD: SeQUence Anomaly Detection for Time Series and Sequences
SQUAD is a library of multiple anomaly detection tools written in C++ to detect anomalies in univariate discrete sequences as well as univariate time series.
Download the latest version of the SQUAD package from here.
A preliminary installation manual for SQUAD is available here.
To install the package you will need to install the tools library, also available for download here, and the fft (version 3.2.1) library available from http://www.fftw.org/download.html.
The tools library and the SQUAD package are open source. If you are using these for your research please drop me in an email. I will be interested to know how well the techniques provided within SQUAD perform. The tools library and the SQUAD package can be cited as:
SQUAD - A Sequence Anomaly Detection Package, Varun Chandola, University of Minnesota, 2009.