PDFVis is a computer program that assists in visualization of uncertainty as represented by a probability density function (PDF) located at each grid cell in a spatial domain. PDFVis performs the following functions:

  • Creates maps of first-, second-, and thirdorder statistics of the PDFs, displaying the maps simultaneously in one image;
  • Provides an interactive probe that displays various forms of density estimates (e.g., histogram or kernel density estimator) of the PDF at a grid cell or larger region selected by the user;
  • For grid cells in a row or column selected by the user, it displays surfaces of the PDFs as shaded walls and as color-mapped wall according to a scalar variable selectable by the user;
  • Displays the modality (basically, the number of peaks) and the locality of the peaks of the PDF in each grid cell;
  • Provides a capability for querying the modalities of the PDFs on the basis of ranges and other criteria specified by the user; and
  • Facilitates interactivity by providing simple user command keys.

This program was written by David Kao and Jennifer Dungan of Ames Research Center and Alex Pang of The Regents of the University of California Santa Cruz.

Inquiries concerning rights for the commercial use of this invention should be addressed to the Ames Technology Partnerships Division at (650) 604-2954. Refer to ARC-15039-1.