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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