Equal-area projection explained

In cartography, an equivalent, authalic, or equal-area projection is a map projection that preserves relative area measure between any and all map regions. Equivalent projections are widely used for thematic maps showing scenario distribution such as population, farmland distribution, forested areas, and so forth, because an equal-area map does not change apparent density of the phenomenon being mapped.

By Gauss's Theorema Egregium, an equal-area projection cannot be conformal. This implies that an equal-area projection inevitably distorts shapes. Even though a point or points or a path or paths on a map might have no distortion, the greater the area of the region being mapped, the greater and more obvious the distortion of shapes inevitably becomes.

Description

In order for a map projection of the sphere to be equal-area, its generating formulae must meet this Cauchy-Riemann-like condition:[1]

\partialy
\partial\varphi

\partialx
\partialλ

-

\partialy
\partialλ

\partialx
\partial\varphi

=s\cos\varphi

where

s

is constant throughout the map. Here,

\varphi

represents latitude;

λ

represents longitude; and

x

and

y

are the projected (planar) coordinates for a given

(\varphi,λ)

coordinate pair.

For example, the sinusoidal projection is a very simple equal-area projection. Its generating formulae are:

\begin{align} x&=Rλ\cos\varphi\\ y&=R\varphi \end{align}

where

R

is the radius of the globe. Computing the partial derivatives,
\partialx
\partial\varphi

=-Rλ\sin\varphi,R

\partialx
\partialλ

=R\cos\varphi,

\partialy
\partial\varphi

=R,

\partialy
\partialλ

=0

and so
\partialy
\partial\varphi

\partialx
\partialλ

-

\partialy
\partialλ

\partialx
\partial\varphi

=RR\cos\varphi-0(-Rλ\sin\varphi)=R2\cos\varphi=s\cos\varphi

with

s

taking the value of the constant

R2

.

For an equal-area map of the ellipsoid, the corresponding differential condition that must be met is:

\partialy
\partial\varphi

\partialx
\partialλ

-

\partialy
\partialλ

\partialx
\partial\varphi

=s\cos\varphi

(1-e2)
(1-e2\sin2\varphi)2
where

e

is the eccentricity of the ellipsoid of revolution.

Statistical grid

The term "statistical grid" refers to a discrete grid (global or local) of an equal-area surface representation, used for data visualization, geocode and statistical spatial analysis.[2] [3] [4] [5] [6]

List of equal-area projections

These are some projections that preserve area:

See also

References

  1. Book: Map projections — A working manual . Snyder . John P. . 1987 . USGS Professional Paper . 1395 . 28. United States Government Printing Office . Washington . 10.3133/pp1395 .
  2. Web site: INSPIRE helpdesk | INSPIRE. 1 December 2019. 22 January 2021. https://web.archive.org/web/20210122065047/https://inspire.ec.europa.eu/forum/discussion/view/10928/use-of-the-equal-area-grid-grid-etrs89-laea. dead.
  3. http://scorus.org/wp-content/uploads/2012/10/2010JurmalaP4.5.pdf
  4. IBGE (2016), "Grade Estatística". Arquivo grade_estatistica.pdf em FTP ou HTTP, Censo 2010
  5. Book: Tsoulos, Lysandros . 50–55 . An Equal Area Projection for Statistical Mapping in the EU . https://www.researchgate.net/publication/236852866 . Map projections for Europe . Joint Research Centre, European Commission . 2003 . Annoni . Alessandro . Luzet . Claude . Gubler . Erich.
  6. Brodzik . Mary J. . Billingsley . Brendan . Haran . Terry . Raup . Bruce . Savoie . Matthew H. . EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets . ISPRS International Journal of Geo-Information . MDPI AG . 1 . 1 . 2012-03-13 . 2220-9964 . 10.3390/ijgi1010032 . 32–45. free .
  7. Web site: McBryde-Thomas Flat-Polar Quartic Projection - MATLAB. www.mathworks.com. 3 January 2024.