Visualization

Visualization refers to the process of rendering information for the purpose of visual appreciation or understanding. Case UTech research computing supports visualization activities for researchers throughout the Case community. In addition, research computing has computing systems that provide the means to produce, explore or share visualization materials.

Our current support service offerings fall into the following categories:

  • Scientific Data Visualization Resources:  Scientific data is distinguished by having clear spatial relations amongst the attributes of the information.
    • For High Performance Computing (HPC) users, there is visualization software available for use on the HPC: including Matlab, gnuplot, Paraview and Schrodinger. Contact hpc-support@case.edu with requests for installation of custom software not  available
    • The CWRU software center  provides a variety of applications to perform scientific visualization, including: Matlab, MathCAD and Mathematica (perform and visualize calculated quantities), PyMOL (molecular visualization), SAS and SPSS (statistics), ChemOffice Professional (chemical and biological structure visualization), Origin (graphing), and, ESRI ArcGIS (geospatial data). Many people on campus work with open source software such as R, and tools such as iPython are being developed in the broader community to enhance the effectiveness of visualization through the interpreted, object-oriented, high-level programming language python.
  • Learning: Web resources remain an effective starting point to train in visualization methods. In fact, searching the web based on your initial thoughts about the type of information you are working with can help refine your view of what you should look to learn. CWRU maintains an open subscription for those affiliated with the university to LinkedIn Learning, a premiere online resource for training videos and courses. Search with keyword 'data visualization' to find introductory materials that also be helpful if you are just beginning your visualization activities.
  • Consultation: The team engages through consultation and collaboration to identify resources appropriate to researcher needs.
Print Article

Details

Article ID: 10651
Created
Tue 10/18/22 12:14 PM
Modified
Fri 10/21/22 11:01 AM