Rose diagrams

• Rose diagrams explain frequency of lineations in a given orientation (right)
• Create full or half (northern 180-degrees) rose diagrams (below left)
• Created diagrams from azimuth bearing or line endpoint data.
• Assign custom petal widths (below right)

Uni or bi-directional data

• Data (e.g. paleocurrents & fractures) may be rotated and/or filtered (by length and/or direction).
• Optional statistical legend and mean ray and error, and easy modification of title, reference rays and circles

Lineation maps

• Plot linear features on a map based on endpoint coordinates.
• Lineations may be color and/or line-style coded to show distinguish different types of features (e.g. slickensided fractures vs. quartz veins).

Lineation gridding

• 2-D and 3-D contour maps of lineation frequencies, lengths, intersections, or a weighted combination thereof

Arrow maps

• Depict the orientation of unidirectional features (e.g. paleocurrents).
• Arrow colors and line styles different types of features (e.g trilobite tracks vs. ammonite tracks).

Stereonets created from strike and dip (or dip-direction, dip-angle) data; plot linear, planar, or rake features.

Planar data plotted as great circles or pole (normal)

Stereonets can employ unique symbols for each sample or groups of samples

Stereonet statistical calculations include mean lineation orientation, eigenvalues, and spherical variance

Contoured stereonets illustrate point density calculated by either a simple step function or the spherical Gaussian Technique