SPSS / AMOS
SPSS Statistics is a statistical and data management package for analysts and researchers, providing a broad range of capabilities for the entire analytical process, including powerful statistics; data access, preparation, and management tools; high-quality tabular and graphical output, and a variety of reporting methods. University licenses include:
Amira is an advanced visualization, image processing, geometry reconstruction, and data analysis platform for research and development. It allows interactive exploration and modeling of virtually all types of multi-dimensional data, as well as rapid virtual prototyping of novel applications.
The IMSL Fortran, C/C++ and C# Numerical Libraries provide pre-written mathematical and statistical algorithms that can be imbedded into Fortran, C/C++, C# for .NET, and Java applications. JMSL for Java applications combines integrated charting with IMSL Library algorithms. PV-WAVE is an array-oriented programming language used to build and deploy visual data analysis applications. TS-WAVE is for advanced time series analysis, and JWAVE’s multiple graphical and visualization techniques allows for web-based visual data analysis across platforms.
ArcGIS is a powerful desktop and server tool for mapping and analysis through the application of geographic knowledge. ArcGIS can perform spatial analysis while combining independent tabular data layers with maps, imagery and 3D geographic features. ArcGIS will be available on the CIRC platform for intensive research applications. ArcGIS also comes with web apps and device apps to share your work with others in across the University. These apps run on smartphones, tablets, web browsers, and desktops, and support a range of tasks and workflows. Under this license, all standard Environmental Systems Research Institute (ESRI) modules are included.
JMP dynamically links statistics with graphics to interactively explore, understand and visualize data. Includes a comprehensive set of statistical tools, experimental designs, and statistical quality control functions.