Scalar-Field Visualization
A scalar field assigns one value per point; the main tools are color mapping, contours, isosurfaces, and volume rendering.
One value per point
A scalar field is the most common data in scientific visualization: temperature, density, pressure, or flux defined over a domain. The task is to show how that single quantity varies in space. The right technique depends on dimensionality and on whether the viewer needs values, structure, or interior detail.
The toolbox
- Color mapping (heatmaps): direct value-to-color over a 2D field.
- Contour lines: curves of constant value in 2D (Contour Plots).
- Isosurfaces: surfaces of constant value in 3D (Isosurfaces).
- Volume rendering: integrated view of a 3D field (Volume Rendering).
Choosing by dimension
In two dimensions, a color map plus contours reads well: color gives the value, contours give precise levels and gradient direction. In three dimensions, a single isosurface reveals one level cleanly while volume rendering shows the whole field at the price of clarity. Combining a transparent isosurface with volume context is common.
Getting the mapping right
A perceptually uniform, colorblind-safe map (see Color Maps) is essential so structure comes from the data. Always show the scale and units; a beautiful field with no legend is not a measurement.
Kronos use
Simulated pressure, density, and flux fields for the breeder and burner are shown with perceptual maps and labeled scales, choosing contours, isosurfaces, or volume rendering by what the question requires.