Equiareal map explained

In differential geometry, an equiareal map, sometimes called an authalic map, is a smooth map from one surface to another that preserves the areas of figures.

Properties

If M and N are two Riemannian (or pseudo-Riemannian) surfaces, then an equiareal map f from M to N can be characterized by any of the following equivalent conditions:

\bigl|df_p(v)\wedge df_p(w)\bigr| = |v\wedge w|\,

where \wedge denotes the Euclidean wedge product of vectors and df denotes the pushforward along f.

Example

An example of an equiareal map, due to Archimedes of Syracuse, is the projection from the unit sphere to the unit cylinder outward from their common axis. An explicit formula is

f(x,y,z)=\left(

x
\sqrt{x2+y2
}, \frac, z\right)for (x, y, z) a point on the unit sphere.

Linear transformations

Every Euclidean isometry of the Euclidean plane is equiareal, but the converse is not true. In fact, shear mapping and squeeze mapping are counterexamples to the converse.

Shear mapping takes a rectangle to a parallelogram of the same area. Written in matrix form, a shear mapping along the -axis is

\begin{pmatrix}1&v\ 0&1\end{pmatrix}\begin{pmatrix}x\\y\end{pmatrix}=\begin{pmatrix}x+vy\\y\end{pmatrix}.

Squeeze mapping lengthens and contracts the sides of a rectangle in a reciprocal manner so that the area is preserved. Written in matrix form, with λ > 1 the squeeze reads

\begin{pmatrix}λ&0\ 0&1/λ\end{pmatrix}\begin{pmatrix}x\\y\end{pmatrix}=\begin{pmatrix}λx\y/λ.\end{pmatrix}

A linear transformation

\begin{pmatrix}a&b\c&d\end{pmatrix}

multiplies areas by the absolute value of its determinant .

Gaussian elimination shows that every equiareal linear transformation (rotations included) can be obtained by composing at most two shears along the axes, a squeeze and (if the determinant is negative), a reflection.

In map projections

See main article: Equal-area map projection.

In the context of geographic maps, a map projection is called equal-area, equivalent, authalic, equiareal, or area-preserving, if areas are preserved up to a constant factor; embedding the target map, usually considered a subset of R2, in the obvious way in R3, the requirement above then is weakened to:

|dfp(v) x dfp(w)|=\kappa|v x w|

for some not depending on

v

and

w

.For examples of such projections, see equal-area map projection.

See also