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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:

  • 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, a premiere on-line 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.
  • Scientific Data Visualization: Scientific data is distinguished by having clear spatial relations amongst the attributes of the information. The CWRU software center ( provides a variety of applications to perform scientific visualization: Matlab and MathCAD (perform and visualize calculated quantities), PyMOL (molecular visualization), SAS (statistics), 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.
    • For High Performance Computing (HPC) users, there is visualization software available for use on the HPC: including Matlab, gnuplot, Paraview and Schrodinger. Contact with requests for installation of custom software not listed here:
    • Visualization Wall: View high-resolution imagery in large-format.
      • The Visualization Wall (or vizwall) at the Kelvin Smith Library is a high-resolution 86-megapixel tiled-display (17920 x 4800 panorama layout) for use faculty and students who are engaged in scholarship and research that require high performance computing and large-scale visual representations of data.
      • It is driven by a Linux-based cluster, using advanced graphics cards to handle large-scale, high-resolution images and video.

Please contact us to learn more about visualization support services, to begin consulting, or simply to let us know what you are doing in the realm of visualization: