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.

### Uniform Grid

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.

Download: Scalar-Field–XYZ-with-Labels.dgraph

### 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.

Download: Scalar-Field–Vary-Layout.dgraph

### Random Field

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.

**Download**: Scalar-Field–Random-with-ColorRamp.dgraph

### 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.

### Logarithmic Data

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.

**Download**: Scalar-Field–Logarithmic-Scale.dgraph

### Microarray 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.

**Download**: Scalar-Field–Microarray-Data.dgraph

### Trippy!

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).

**Download**: Scalar-Field–Trippy.dgraph