It's your score jubilee (?) !

You might want to see this, @SortOfTested

Everyone and their dog is making a game, so why can't I?
1. open world (check)

2. taking inspiration from metro and fallout (check)

3. on a map roughly the size of the u.s. (check)

So I thought what I'd do is pretend to be one of those deaf mutes. While also pretending to be a programmer. Sometimes you make believe
so hard that it comes true apparently.

For the main map I thought I'd automate laying down the base map before hand tweaking it. It's been a bit of a slog. Roughly 1 pixel per mile. (okay, 1973 by 1067). The u.s. is 3.1 million miles, this would work out to 2.1 million miles instead. Eh.

Wrote the script to filter out all the ocean pixels, based on the elevation map, and output the difference. Still had to edit around the shoreline but it sped things up a lot. Just attached the elevation map, because the actual one is an ugly cluster of death magenta to represent the ocean.

Consequence of filtering is, the shoreline is messy and not entirely representative of the u.s.

The preprocessing step also added a lot of in-land 'lakes' that don't exist in some areas, like death valley. Already expected that.

But the plus side is I now have map layers for both elevation and ecology biomes. Aligning them close enough so that the heightmap wasn't displaced, and didn't cut off the shoreline in the ecology layer (at export), was a royal pain, and as super finicky. But thankfully thats done.

Next step is to go through the ecology map, copy each key color, and write down the biome id, courtesy of the 2017 ecoregions project.

From there, I write down the primary landscape features (water, plants, trees, terrain roughness, etc), anything easy to convey.
Main thing I'm interested in is tree types, because those, as tiles, convey a lot more information about the hex terrain than anything else.

Once the biomes are marked, and the tree types are written, the next step is to assign a tile to each tree type, and each density level of mountains (flat, hills, mountains, snowcapped peaks, etc).
The reference ids, colors, and numbers on the map will simplify the process.

After that, I'll write an exporter with python, and dump to csv or another format.

Next steps are laying out the instances in the level editor, that'll act as the tiles in question.
Theres a few naive approaches:

Spawn all the relevant instances at startup, and load the corresponding tiles.

Or setup chunks of instances, enough to cover the camera, and a buffer surrounding the camera. As the camera moves, reconfigure the instances to match the streamed in tile data.

Instances here make sense, because if theres any simulation going on (and I'd like there to be), they can detect in event code, when they are in the invisible buffer around the camera but not yet visible, and be activated by the camera, or deactive themselves after leaving the camera and buffer's area.

The alternative is to let a global controller stream the data in, as a series of tile IDs, corresponding to the various tile sprites, and code global interaction like tile picking into a single event, which seems unwieldy and not at all manageable. I can see it turning into a giant switch case already.

So instances it is.

Actually, if I do 16^2 pixel chunks, it only works out to 124x68 chunks in all. A few thousand, mostly inactive chunks is pretty trivial, and simplifies spawning and serializing/deserializing.

All of this doesn't account for
* putting lakes back in that aren't present

* lots of islands and parts of shores that would typically have bays and parts that jut out, need reworked.

* great lakes need refinement and corrections

* elevation key map too blocky. Need a higher resolution one while reducing color count
This can be solved by introducing some noise into the elevations, varying say, within one standard div.

* mountains will still require refinement to individual state geography. Thats for later on

* shoreline is too smooth, and needs to be less straight-line and less blocky. less corners.

* rivers need added, not just large ones but smaller ones too

* available tree assets need to be matched, as best and fully as possible, to types of trees represented in biome data, so that even if I don't have an exact match, I can still place *something* thats native or looks close enough to what you would expect in a given biome.
Ponderosa pines vs white pines for example.

This also doesn't account for 1. major and minor roads, 2. artificial and natural attractions, 3. other major features people in any given state are familiar with. 4. named places, 5. infrastructure, 6. cities and buildings and towns.

Also I'm pretty sure I cut off part of florida.
Woops, sorry everglades.

Guess I'll just make it a death-zone from nuclear fallout.

Take that gators!

I think I did it. I did the thing I set out to do.

let p = a semiprime of simple factors ab.
let f equal the product of b and i=2...a inclusive, where i is all natural numbers from 2 to a.
let s equal some set of prime factors that are b-smooth up to and including some factor n, with no gaps in the set.
m is a the largest primorial such that f%m == 0, where
the factors of s form the base of a series of powers as part of a product x
1. where (x*p) = f
2. and (x*p)%f == a

if statement 2 is untrue, there still exists an algorithm that
3. trivially derives the exponents of s for f, where the sum of those exponents are less than a.
4. trivially generates f from p without knowing a and b.

For those who have followed what I've been trying to do for so long, and understand the math,
then you know this appears to be it.

I'm just writing and finishing the scripts for it now.

Thank god. It's just in time. Maybe we can prevent the nuclear apocalypse with the crash this will cause if it works.