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UVCDAT Features
Matthew Harris edited this page Sep 17, 2013
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1 revision
###Software Included Included Software
###1.2.0
- Python based
- Drag and drop plotting
- Calculator
- Colormap editors
- Map projections
- Template editor for plot annotation
- Multiple 1D/2D/3D visualizations (e.g., VCS, VTK, ParaView)
- 3D samples of visualizations:
- Glyph Slicer
- Glyph Volume
- Hovmuller Slicer
- Hovmuller Volume
- IsoSurface
- IsoSurface with texture
- Slicer
- Slicer with Contours
- Streamline Slicer
- Volume Renderer
- Volume Renderer with Slicer
- 2D samples of visualizations:
- Taylor Diagrams
- isofill
- boxfill
- meshfill (curvilinear grids for example)
- isolines (with streamlines)
- vectors
- histograms
- 1D sample of visualizations:
- Y(x) vs x
- X(y) vs y
- X vs Y
- scatter
- PVClimate
- Contour Representation
- Slice Representation
-
VisIt
- Contour
- PseudoColor
- Custom Visualizations/Analysis:
- Wheeler Kiladis
- Thermodynamic Diagrams (skewT plots)
- Multiple file format ingestion (e.g., netCDF/CF, PP, ASCII, Binary, etc.)
- Regridding
- Python source code generator
- Workflow and provenance recording
- Step through dimension while on plot
- Climate data tools that calculate:
- mean
- standard deviation
- covariance
- variance
- autocorrelation
- autocovariance
- geomettric mean
- lagged correlation
- lagged covariance
- linear regression
- mean
- mean absolute difference
- median
- rank (in %)
- root mean square
- filters:
- 121
- running average
- custom filter
- read ascii data
- conversion of pressure levels
- extraction of climatology, season, monthly means
- departure from means
- bounds set for Xhourly, daily, monthly data
###1.0. alpha
- Python based
- Initial integration of CDAT, VisTrails, and ParaView
- New front-end design
- Drag and drop plotting
- Calculator
- Colormap editors
- Map projections
- Template editor for plot annotation
- Multiple 1D/2D/3D visualizations (e.g., VCS, VTK, ParaView)
- 3D samples of visualizations:
- 3D Hoffmuller
- 3D volume slicer
- 3D vector plot
- 3D volume isosurface
- 3D volume rendering
- 2D samples of visualizations:
- Taylor Diagrams
- isofill
- boxfill
- meshfill (curvilinear grids for example)
- isolines (with streamlines)
- vectors
- 1D sample of visualizations:
- Y(x) vs x
- X(y) vs y
- X vs Y
- scatter
- Custom Visualizations/Analysis:
- Wheeler Kiladis
- Thermodynamic Diagrams (skewT plots)
- Multiple file format ingestion (e.g., netCDF/CF, PP, ASCII, Binary, etc.)
- Regridding
- Python source code generator
- Workflow and provenance recording
- Parallel I/O
- Step through dimension while on plot
- Climate data tools that calculate:
- mean
- standard deviation
- covariance
- variance
- autocorrelation
- autocovariance
- geomettric mean
- lagged correlation
- lagged covariance
- linear regression
- mean
- mean absolute difference
- median
- rank (in %)
- root mean square
- filters:
- 121
- running average
- custom filter
- read ascii data
- conversion of pressure levels
- extraction of climatology, season, monthly means
- departure from means
- bounds set for Xhourly, daily, monthly data