The Scalar field command works with two-dimensional regular grids.
- Regular Uniform
- Non-uniform Rectilinear
- Curvilinear Grid
Download the example files to see how the following graphs are made.
The Scalar Field is used to represent a 10×10 uniform grid of data in three columns (x,y,z). A Color Ramp variable provides the color.
Uniform vs. Non-uniform
The Scalar Field is used to represent a column of numbers on a uniform (Cartesian) and a non-uniform grid (rectilinear). Each image below uses the same data (z-direction), but the data are mapped to different x-y locations.
The Scalar Field is demonstrated for a random field of 100×100 uniform grid size (x,y, and z data). A Color Ramp Legend is also displayed on the graph.
Volcano with Contours
The Scalar Field is used to draw example topographic data from the dataset, volcano (sample dataset in R). Contours are also added along with a Color Ramp Legend.
DataGraph Examples: CONTOUR LINES & COLOR RAMPS. Access by opening DataGraph.
The Scalar Field is used to visualize a randomly sampled, log-uniform distribution. To do this, the Color Ramp variable Transition menu is set to ‘Logarithmic’ to appropriately represent the data.
The Scalar Field command is used to visualize a microarray data set. In this case, ‘y’ is a text column (categorical variable) and the text is used to label the y-axis.
The Scalar Field command is used to create a square grid, represent values using a Color ramp, and draw contours. The grid is also mapped into other shapes (circle, twist, cone).