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  2. Scaling (geometry) - Wikipedia

    en.wikipedia.org/wiki/Scaling_(geometry)

    Such a scaling changes the diameter of an object by a factor between the scale factors, the area by a factor between the smallest and the largest product of two scale factors, and the volume by the product of all three. The scaling is uniform if and only if the scaling factors are equal (v x = v y = v z). If all except one of the scale factors ...

  3. Mercator projection - Wikipedia

    en.wikipedia.org/wiki/Mercator_projection

    at latitude 45° the scale factor is k = sec 45° ≈ 1.41, at latitude 60° the scale factor is k = sec 60° = 2, at latitude 80° the scale factor is k = sec 80° ≈ 5.76, at latitude 85° the scale factor is k = sec 85° ≈ 11.5. The area scale factor is the product of the parallel and meridian scales hk = sec 2 φ.

  4. Map projection - Wikipedia

    en.wikipedia.org/wiki/Map_projection

    The scale depends on location, but not on direction. This is equivalent to preservation of angles, the defining characteristic of a conformal map. Scale is constant along any parallel in the direction of the parallel. This applies for any cylindrical or pseudocylindrical projection in normal aspect.

  5. Characteristic length - Wikipedia

    en.wikipedia.org/wiki/Characteristic_length

    In physics, a characteristic length is an important dimension that defines the scale of a physical system. Often, such a length is used as an input to a formula in order to predict some characteristics of the system, and it is usually required by the construction of a dimensionless quantity, in the general framework of dimensional analysis and in particular applications such as fluid mechanics.

  6. Helmert transformation - Wikipedia

    en.wikipedia.org/wiki/Helmert_transformation

    μ – scale factor, which is unitless; if it is given in ppm, it must be divided by 1,000,000 and added to 1. R – rotation matrix. Consists of three axes (small [clarification needed] rotations around each of the three coordinate axes) r x, r y, r z. The rotation matrix is an orthogonal matrix. The angles are given in either degrees or radians.

  7. Projected area - Wikipedia

    en.wikipedia.org/wiki/Projected_area

    The geometrical definition of a projected area is: "the rectilinear parallel projection of a surface of any shape onto a plane". This translates into the equation: A projected = ∫ A cos ⁡ β d A {\displaystyle A_{\text{projected}}=\int _{A}\cos {\beta }\,dA} where A is the original area, and β {\displaystyle \beta } is the angle between ...

  8. Euclidean planes in three-dimensional space - Wikipedia

    en.wikipedia.org/wiki/Euclidean_planes_in_three...

    For a plane, the two angles are called its strike (angle) and its dip (angle). A strike line is the intersection of a horizontal plane with the observed planar feature (and therefore a horizontal line), and the strike angle is the bearing of this line (that is, relative to geographic north or from magnetic north). The dip is the angle between a ...

  9. Shear mapping - Wikipedia

    en.wikipedia.org/wiki/Shear_mapping

    Therefore, the shear factor m is the cotangent of the shear angle between the former verticals and the x-axis. (In the example on the right the square is tilted by 30°, so the shear angle is 60°.) (In the example on the right the square is tilted by 30°, so the shear angle is 60°.)

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