Workflows with open structural data · Part 2 of 4

Fold axis three ways: pi diagram, lineation, hinges

In a folded terrane the fold axis can be recovered from the folded surface, from the mineral lineation, or from the hinges of minor folds. Voyageurs National Park has all three on the map, which makes it a good place to ask whether they land in the same spot.

There is a nice piece of redundancy built into a folded metamorphic terrane. Fit a great circle through the poles of the folded surface and its pole is the fold axis, which is the π-diagram. Average the mineral lineation and you get the fold axis too, but only if the lineation happens to lie parallel to the hinge. Or skip the inference entirely and average the hinges of minor folds that somebody measured in outcrop.

Three measurements of different things. If they agree, the fabric is telling a simple story and you can say what it is. If they disagree, the disagreement is the result. Either way it is worth checking, and it takes about ten minutes.

The dataset, and one trap in it

These are Archean rocks of the Superior Province, mapped by Hemstad, Southwick and Ojakangas for the Minnesota Geological Survey at 1:50,000 and digitised by the National Park Service. The extract holds 1,237 foliation planes, 796 mineral lineations and 78 minor fold axes across the park, along with the unit and age each was mapped in.

It also holds 40 glacial striations, and those are the trap. They are linear features sitting in the same map layer as the tectonic lineations, with a trend and no plunge because they are scratches on a horizontal rock surface. They record Pleistocene ice flow, not Archean deformation. Average them in with the mineral lineation and you have quietly mixed two datasets separated by two and a half billion years. They import as their own feature type here, so leaving them out is a decision you make rather than one you forget.

The foliation is folded

Plot poles to the 1,237 foliations, contour them, and the distribution is a girdle: a broad band running across the net rather than a single maximum. That is the signature of a surface that has been folded, and the orientation tensor puts a number on it. Woodcock's K comes out at 0.58, comfortably on the girdle side of the boundary at 1, with a fabric strength that says the girdle is well developed rather than a smear.

Figure 1. Poles to 1,237 foliation planes, Kamb contoured. The distribution is a girdle rather than a cluster, and the dashed great circle is the π-circle whose pole is the fold axis. The two density maxima at either end of it are the two limbs.

Fitting the great circle gives a π-circle of 164/62 and an axis of 074/28. Worth noting what the alternative would have given: taking a simple mean of the same poles returns a mean foliation plane of 271/62, which is a real number and a misleading one. It is the average attitude of a surface that is folded, so no outcrop need look like it. The girdle describes the rock. The mean plane only summarises it.

The lineation is not

The 796 mineral lineations behave in the opposite way. They form a cluster, tight enough that the mean direction is pinned down to better than two degrees, at 076/33.

Figure 2. The 796 mineral lineations. A single concentration, in contrast to the girdle of Figure 1, with a Woodcock K of 2.22 against the foliation's 0.58. A girdle of foliation poles plus a cluster of lineations is the definition of an L-S tectonite.

One thing to read carefully in that panel. The confidence cone on the mean is 1.6°, but the angular radius containing roughly two thirds of the individual lineations is closer to 25°. Both are true. The first says the mean is well determined, which it is with 796 measurements; the second says the fabric itself is genuinely dispersed, which it also is. Report only the first and you will mislead somebody, probably yourself.

And the hinges themselves

The third estimate needs no inference at all. Seventy-eight minor fold axes were measured directly in outcrop, most of them logged as crests of refolded folds. Their mean is 076/35, with a wider confidence cone than the lineation mean because there are ten times fewer of them.

So do they agree?

Drop any two of the three results into the angle calculator and it tells you directly.

Table 1. Three estimates of the same axis, and the angles between them.
EstimateFromNTrend / plunge
π-axisgirdle of foliation poles1,237074 / 28
Mineral lineationmean direction796076 / 33
Minor fold axesmean direction78076 / 35
Table 2. Pairwise angles. The two directly measured linear elements agree most closely, which is what you would hope.
PairAngle
π-axis and mineral lineation5.7°
π-axis and minor fold axes7.3°
Mineral lineation and minor fold axes1.7°
Figure 3. Foliation and lineation on one net, with the π-circle and the mean drawn over them. The two axis estimates sit so close together that measuring between them needs a zoom: the on-screen separation reads 5.6°, and computing it from the stored results rather than from hand-placed points gives 5.7°.

The axis is not the same everywhere

Before making too much of that agreement, it is worth asking what the three numbers are averaging. All of them are single values fitted to the whole park, and a single value is only a fair summary if the thing it describes is constant. Here it is not.

Put the lineations in a three-dimensional box with position on the floor and plunge running up the vertical axis, and the shape of the problem becomes visible. The plunge is not spread evenly through the box: the steep population bunches toward one end and thins away across the rest. Being able to orbit the box matters here, because a single static view of a point cloud is always partly a projection artefact. Sliding a section slab along the horizontal axis makes the same point a slice at a time.

Figure 4. The mineral lineations plotted as position against plunge, viewed from the south-west, wrapped in a 2σ ellipsoid. The 1,237 foliation planes are dropped automatically and the count in the corner says so: a plane has no plunge, so it has nowhere to sit on the vertical axis. Two things are worth reading off this. The population is a tilted slab rather than a ball, which is the gradient in Table 3 seen side-on. And the note in the panel is the more important one: because the three axes carry different units, the ellipsoid describes shape only and has no trend or plunge to report. It would take a box of longitude, latitude and elevation before an orientation read off this thing meant anything.

Split the park into thirds by longitude and both independent methods shallow together, which is the test that matters. If only one of them moved, the gradient would more likely be an artefact of the method than a property of the rocks.

Table 3. The same analysis run inside three longitude thirds. Trend holds steady; plunge does not.
Thirdπ-axisLineation meanMedian foliation dip
West068 / 39073 / 4478°
Middle079 / 26078 / 2560°
East073 / 26078 / 2749°

So the park-wide plunge of 33° is a number no third of the park actually shows. The trend is genuinely constant at around 075°, and that part of the earlier result stands. The plunge is a regional average across a gradient, and it should be quoted that way. The foliation flattens eastward in step with it, from a median dip near 80° to under 50°, which is the kind of thing you would expect if the section exposes a different structural level from one end of the park to the other.

What the agreement means

The lineation is parallel to the fold hinge. In the older terminology that makes it a b-lineation, formed in the deformation that folded the foliation, rather than a stretching lineation oblique to the hinges. The π-axis agreeing with hinges measured directly in outcrop also says the folding is close to cylindrical across the whole park. Two fold generations with strongly different axes would leave a diffuse pole girdle and a fold-axis population that refused to cluster, and neither is what the data show.

Grouping by rock unit adds a second-order result worth having. The axis is the same everywhere, within a few degrees, in the schist-rich migmatite, the granite-rich migmatite and the Quetico biotite schist. What changes between them is how strongly folded each unit is: the migmatites give clear girdles, while the Quetico schist sits on the cluster side of the boundary, its foliation more nearly planar over the area sampled. That is a difference in fold intensity, not in kinematics, and it is the kind of thing that is invisible until you group the plot.

Figure 5. Both results carry their own provenance. Each one records the method, the number of orientations that went in, and the measurements themselves, so the numbers in Tables 1 and 2 can be traced back long after the plot is closed. Note the two dispersion figures on the right: a confidence cone of 1.60° on the mean, against a θ63 of 24.86° for the measurements it summarises.

Where this could still be wrong

The π-method assumes the folding is cylindrical. It does not test that. A conical fold scatters poles along a small circle, and a great-circle fit will happily return an axis for one anyway, quietly wrong. On a girdle as broad as this one it is worth spending thirty seconds on a conical fit to see whether it describes the poles better.

Woodcock's K is not a strain ratio either. It describes the shape of a distribution of directions, so applied to poles of a folded surface it is measuring the geometry of the folding. It is not the Flinn parameter and should not be read as prolate against oblate strain, however similar the diagrams look.

And as with everything else in this series, these are attitudes selected for portrayal on a published map rather than sampled at random from outcrop. Three independent estimates agreeing to within seven degrees is strong evidence that they record a real structure. The dispersion figures still describe the mapped population and not the rock mass.

Data and sources

The extract is a single CSV of 2,154 records covering foliation, mineral lineation, minor fold axes, glacial striations and flow banding, with strike, dip, trend, plunge, position, unit, lithology and age. It imports into Stereogram Pro in one pass, and every figure and table above can be reproduced from it.

voyageurs-fabric.csv

2,154 records · 258 kB · derived from NPS DataStore reference 2243745.

Download

Original dataset

Geologic Resources Inventory (GRI) program, 2022. Digital Bedrock Geologic-GIS Map of Voyageurs National Park and Vicinity, Minnesota (NPS, GRD, GRI, VOYA, VOYA digital map), adapted from Minnesota Geological Survey Miscellaneous Map Series maps by Hemstad, Southwick and Ojakangas (2002) and by Jirsa (2011). 2nd edition, data formats updated. National Park Service (NPS) Geologic Resources Inventory (GRI) program.

Available from
NPS DataStore reference 2243745: irma.nps.gov/DataStore/Reference/Profile/2243745. Free, and no account is needed.
Files to download
voya_bedrock_geology_gpkg.zip (GeoPackage, 6 MB, opens in QGIS) or voya_bedrock_geology_gdb_pro.zip (Esri file geodatabase, 5 MB). Both carry the same data. The reference also holds voya_geology_gis_readme.pdf and voya_bedrock_geology_metadata_faq.pdf, which state the accuracy and intended use of the map and are worth reading before you reuse it.
Layer used here
The attitude observation points, 3,272 features covering both planar and linear structures: VOYA_Geologic_Attitude_Observation_Localities in the GeoPackage, voyaatd in the geodatabase.
Terms of use
The DataStore record asserts no copyright and states no use constraints; as a work of the U.S. federal government the map data are in the public domain. Cite the GRI product as above if you republish it.
Version used
Issued 12 July 2022, retrieved 2 August 2026.
How our CSV differs
Filtered to the fabric elements the article uses, sentinel values stripped, feature-type codes decoded to plain labels, coordinates reprojected to WGS 84 decimal degrees, and mapped unit, lithology and age attached by point-in-polygon join against the map's unit layer. The glacial striations keep a trend and no plunge, as they are recorded in the source. No orientation was altered.

Hemstad, C. B., Southwick, D. L. and Ojakangas, R. W., 2002. Bedrock Geologic Map of Voyageurs National Park and Vicinity, Minnesota, scale 1:50,000. Minnesota Geological Survey. With Jirsa, M. A., 2011, M-192, scale 1:100,000.

Fisher, R. A., 1953. Dispersion on a sphere. Proceedings of the Royal Society of London A, 217, 295–305.

Ramsay, J. G., 1967. Folding and Fracturing of Rocks. McGraw-Hill, New York. The π- and β-diagram treatment of cylindrical folds.

Turner, F. J. and Weiss, L. E., 1963. Structural Analysis of Metamorphic Tectonites. McGraw-Hill, New York.

Woodcock, N. H., 1977. Specification of fabric shapes using an eigenvalue method. Geological Society of America Bulletin, 88, 1231–1236.

Allmendinger, R. W., Cardozo, N. and Fisher, D. M., 2012. Structural Geology Algorithms: Vectors and Tensors. Cambridge University Press.

Run this workflow yourself

Stereogram Pro opens in demo mode straight from the browser. No signup, no account, and nothing leaves your machine. Plot the poles, fit the π-circle, and compare it against the eigenvector and intersection-line answers on the same data.

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Workflows with open structural data

  1. 1 How many joint sets? Canyonlands
  2. 2 Fold axis three ways Voyageurs · You are here
  3. 3 Structural domains Grand Canyon
  4. 4 Fault-slip P and T axes Bavaria