write that blurb

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@ -95,7 +95,14 @@ I don't have a complete list of what data files are needed, so I usually just ru
You can alternatively scroll through `compose_maps.py` to see what files it references (anything that starts with "ne_" is the name of a Natural Earth dataset).
## Wherefore?
I'll write a little blurb here later.
While maps of the world are often perceived as authoritative sources of information, in reality, any image that represents the Earth's surface on a plane is inherently wrong. This is because the Earth's surface cannot all be viewed at the same time, either on a sphere or on any isometric transformation of a sphere, unless one is willing to distort the features in the map to make them all lie flat.
This is the impetus for the map projection any technique by which geographic features on the map may be represented on a computer screen or on a piece of paper.
For localized maps, it doesn't make much of a difference, but the larger the mapped area the more the distortion will become aparent, depending on which projection you use.
Hundreds have been invented over the past two thousand years.
Some distort areas, some distort angles, and some distort both.
Some are widely used, some are hotly debated, and some are only known to a select few corners of the internet.
The goal of this program is to gather and categorize them, not only for the sake of learning about them (the collection at [map-projections.net](https://map-projections.net/) is far more comprehensive than mine if that's your aim) but also for the sake of using to display arbitrary data.
And in oblique aspects!
For some examples, check out the `output` folder (all were created with this program but some also involved some postprocessing in paint.net). For more information, go to [jkunimune.github.io/Map-Projections](https://jkunimune.github.io/Map-Projections).