
VIEWIMAGE(ATTRIBUTES)        Khoros         VIEWIMAGE(ATTRIBUTES)

     Use Imagery:

     When the Color Mesh or Surface plot types are used, the
     imagery data is draped over the elevation data.  However, in
     the event that you would like to display the elevation data
     as it would be displayed in the xprism3 plotting package
     (that is, with colors indicating depth rather than a draping
     of the image data) you may click on the "Use Imagery" logi-
     cal, changing it to False.

     Interpolate Imagery:

     This option causes viewimage to use an interpolation algo-
     rithm to do a much more accurate draping of the imagery over
     the elevation data.  It is time consuming, although many
     users may feel that the increased quality of the displayed
     imagery is worth the wait.

     Proportional Plotting:

     This option causes the elevation data to be mapped to a unit
     cube;  that is, it normalizes the X, Y, and Z information to
     be equidistant values.  The default value is TRUE.  Remember
     that if you want the actual X, Y, and Z values of your
     elevation data, you must specify this option as FALSE.

     Sub-Sample Factor:

     The sub-sample factor is used in the same way as it is in
     xprism2 & xprism3.  The sub-sampling factor allows you to
     plot a portion of data rather than the entire image.  This
     is useful when trying to view large images which may take a
     lot of time to render.  For example, using a sub-sample fac-
     tor of 2.0 will cause viewimage to plot every other point in
     the image, thus plotting a forth of the entire image.  By
     using the sub-sample factor, the user shrinks the amount of
     data that viewimage must render;  this in turn will increase
     the interactiveness of the program. It is recommended that
     you use this feature while viewing the image with perspec-
     tive or readying it for output.  Then, if you want a high
     quality output, you can change the sample factor to 1.0 and
     the interpolate imagery to TRUE; but be aware it may take as
     much as an hour for a 512x512 image to plot.

     Height Factor:

     The height factor can be used to scale the height (or Z
     values) of the elevation image.  This is useful if you wish
     to exaggerate the height of the plot, accentuating peaks and
     valleys, or if you wish to scale down the plot to produce a
     smoother terrain.  A height factor of 2.0, for example, will
     cause the image will appear to double in height;  a height
     factor of 0.5 will cause the plot to appear only half of
     it's original height.

     PLOT TYPE

     Use the "Plot Type" toggle to select the type of plot you in
     which you would like to display the elevation data.  The
     following is a list of the different plot types that are
     available:

     3D:  3D plots are comprised of a line connecting each eleva-
          tion value along the X axis.  The plot is formed of a
          series of connected lines stacked in the Y direction.

     Scatter:
          Scatter plots interpret elevation data as a set of
          individual points, and are displayed as such.

     Impulse:
          Impulse plots are formed by extending a line from the
          floor of the elevation data, which is usually the X-Y
          plane, upward in the Z direction.  The height of each
          line in the plot represents the value at that particu-
          lar location.

     Mesh:
          Mesh plots are much like 3D plots, but are pictured as
          a surface made up of polygons according to the eleva-
          tion data rather than as a set of lines.

     Horizon:
          A Horizon plot is a surface plot that is drawn from the
          rear to the front.  This implies that the under surface
          will be filled.

     Surface:
          Surface plots are similar to Mesh plots, except the
          surface is displayed using the imagery data.

     Contour 3D:
          3D Contour plots are similar to 2D Contour plots in
          that the contour lines supply depth information; how-
          ever, the 3D information is not cast onto the XY plane,
          but is left in three dimensions. The different contour
          levels are represented by their colors, but depth
          information provided by the elevation data is also
          represented by their position in the 3D space.

     Contour 2D:
          2D Contour plots are a special case, as they take three
          dimensional information but are displayed in a two
          dimensional space. Contour plots cast the elevation
          data onto the XY plane; the contour lines on the XY
          plane supply depth information, as in aerial photogra-
          phy and relief maps.  On a color display, the different
          contour levels are represented in different colors, in
          ROYGBIV order (red, orange, yellow, green, blue,
          indigo, violet), where violet represents the smallest
          depth value (Z value) and red represents the largest
          depth value (Z value).  Unfortunately, contour maps
          loose much in the translation to a monochrome machine,
          as there is no way represent depth.

     Color Mesh:
          Color Mesh plots are similar in structure to Mesh
          plots, except that the lines making up the mesh are
          colored according to the imagery data provided.

          Copyright 1991, University of New Mexico. All rights
          reserved.

Version: 0                 Release: 1                           1

