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attitude's Introduction

attitude

Attitude: orientation of an object in space.

A rotation of the sphere can be represented in various ways, such as:

The attitude module allows conversions and computations between all these representations.

See https://observablehq.com/@fil/attitude for details.

Installing

If you use NPM, npm install attitude. Otherwise, download the latest release. AMD, CommonJS, and vanilla environments are supported. In vanilla, an attitude global is exported:

<script src="https://unpkg.com/attitude"></script>
<script>

const attitude = attitude();

</script>

Try attitude in your browser.

Representations

Euler Angles

[lambda, phi, gamma], in degrees.

Axis-Angle

{ axis: [lon, lat], angle: alpha }, in degrees.

Rotation Matrix

[ [r11, r12, r13],
  [r21, r22, r23],
  [r31, r32, r33] ]

Unit Quaternion

q = [q0, q1, q2, q3, q4] is also called a versor when its norm is equal to 1.

Rotation Vector

[ x, y, z ] = f(a)B, where f(a) is a scalar encoding the angle, and B a unit vector in cartesian coordinates.

Note: there are many ways to encode the angle, we have to settle on a default. The useful functions f(a) are:

  • tan(a/4): stereographic, ‘Modified Rodrigues Parameters’.
  • tan(a/2): gnomonic, ‘Rodrigues Parameters’, ‘Gibbs vector’.
  • a: equidistant, logarithm vector.
  • (vector part of the) unit quaternion: Euler angles.

Defaults to the stereographic vector representation.

API Reference

# attitude([angles])

Returns an attitude object. Sets the rotation’s Euler angles if the angles argument is specified. attitude is equivalent to d3.geoRotation(angles), and can be used as a function to rotate a point [longitude, latitude].

Operations

# attitude.invert(point)

Returns the inverse rotation of the point.

# attitude.inverse()

Returns a new attitude, inverse of the original.

# attitude.compose(b)

Returns a new attitude, composition of the original with the argument. When c = a.compose(b) is applied to a point p, the result c(p) = a(b(p)): in other words, the rotation b will be applied first, then rotation a.

# attitude.power(power)

Returns a new partial attitude. a.power(2) is twice the rotation a, a.power(.5) is half the rotation a.

# attitude.arc(A, B)

Returns a new attitude that brings the point A to B by the shortest (geodesic) path.

# attitude.interpolateTo(b)

Returns an interpolator that continuously transitions the original attitude to the argument. The result is a function of t that is equivalent to attitude for t = 0, and equivalent to b for t = 1. Useful for spherical linear interpolation (SLERP).

Representations

# attitude.angles([angles])

Sets or reads the Euler angles of an attitude, as an array [φ, λ, γ] (in degrees).

# attitude.axis([axis])

Sets or reads the rotation axis of an attitude, as [lon, lat] coordinates.

# attitude.angle([angle])

Sets or reads the rotation angle of an attitude, in degrees.

# attitude.versor([versor])

Sets or reads the versor representation of an attitude, as a length-4 array.

# attitude.matrix([matrix])

Sets or reads the matrix representation of an attitude, as a matrix of size 3×3.

# attitude.vector([vector])

Sets or reads the vector representation of an attitude, as a length-3 array. That array can be written f(a)B, where f is a function of the rotation’s angle, and B a unit vector respresenting the axis in cartesian coordinates.

Defaults to the stereographic vector: f(a) = tan(a/4).

# attitude.vectorStereographic([vector])

Stereographic vector: f(a) = tan(a/4). Also called the ‘Modified Rodrigues Parameters’.

# attitude.vectorGnomonic([vector])

Gnomonic vector: f(a) = tan(a/2). Also called ‘Rodrigues Parameters’ or ‘Gibbs vector’.

# attitude.vectorEquidistant([vector])

Equidistant vector: f(a) = a. Also called the logarithm vector.


With thanks to Jacob Rus, Nadieh Bremer, Mike Bostock and Darcy Murphy.

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attitude's Issues

Stereographic vector

As noted by @jrus there are many ways to encode the angle. The useful functions f(a) are:

  • tan(a/4): stereographic, ‘Modified Rodrigues Parameters’.
  • tan(a/2): gnomonic, ‘Rodrigues Parameters’, ‘Gibbs vector’.
  • a: equidistant, logarithm vector.
  • (vector part of the) unit quaternion: Euler angles.

The current code uses f(a) = a ; we have to settle on a default.

The stereographic option seems the best: it allows to use the vector representation to do optimization (via gradient descent for example), and maybe to compute the average of an array of rotations (not sure about this—maybe the equidistant is better?).

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