Random Map Generator

* HD Edition Random Map Generator integration (when you specify path to a H3 Complete installation, you'll get integration of the RMG into HD Edition while you get started new sport) * HD Edition Object Re-visit (re-visit objects with area bar like in AB/SoD)Valorant Maps. Share Share via Matyas5. Like. Edit Content. Embed. More. Log in required. Theme. Log in required. Options. Leaderboard. Random wheel is an open-ended template. It does now not generate rankings for a leaderboard. Switch templateRandom Map Generator with biomes. Discussion in 'Scripting' began by way of SchwarzeNoble, Mar 23, 2021 at 8:fifty four AM. SchwarzeNoble. Joined: Feb 5, 2021 Posts: 6. Hi! I'm trying to make my first recreation and I considered beginning by means of producing the map. I need the map to be random each time you press the brand new sport button.- Random map: Click the 'Random' button below the map to have a random map generated instantly. - Change map measurement: To illustrate this, I made a map the use of this generator as a making plans ground and I then high-quality tuned that map in an modifying program to get a extra herbal having a look map.This is a free procedural global map generator, used for producing a pixel-art international and populating it with different spaces / civilizations, one pixel at a time. It's intended as a tool for quick worldbuilding map creation- be it for tabletop RPG video games (equivalent to D&D) and recreation masters, as inspiration for extra detailed maps for artists, or just for a laugh.

Valorant Maps - Random wheel - Wordwall

The world's largest purchaser of HeroClix! We have Marvel, DC and lots of more. Find yours nowadays!Random encounter tables for the close by house; A Town name; Now that we all know what we will be growing, let's take a look at some D&D the town generators that will make this paintings easy. Town Map Generator. There are a lot of nice D&D map equipment on-line, and so much them are unfastened too!Use the + and - buttons in the most sensible proper to zoom out and in. You can pan around the map both with middle mouse or by means of clicking and dragging. The 3rd button will make the map fill the display, pressing it once more will return to commonplace dimension. While looking around you should see more than a few black and crimson dots, those are towns and dungeons respectively.that used to be the purpose of this dialogue.. the place is the random map generator? i dont see one.. its all pre-made maps #10. Aturchomicz (Banned) Jul 7, 2018 @ 4:21am Originally posted by way of Xtra Cool Chris: Originally posted by way of Aturchomicz: There already is a random map generator

Valorant Maps - Random wheel - Wordwall

Random Map Generator with biomes - Unity Forum

How to use. Click the button to turn a random Street View from somewhere in the world.. Choose the countries from a list in the panel, or click on the button to make a choice the usage of a map.. Street Views will then be proven from the realm you notice in the map. You can use this to generate Street Views of a town, or region akin to Europe.Available in an online version as well as an offline home windows version, Planet Map Generator will create a fractal map for you according to a random seed. It means that you can choose from 14 other map projections (together with Mollweide, Mercator, Conical, Icosahedral) as well other kinds of shading and colour.Your browser does now not make stronger the component. Replace it first.Geomorphic map generator internet app for role-playing fanatics. Created by web clothier and puzzle creator David Millar.Azgaar's Fantasy Map Generator and Editor. –°lick the arrow button for options. Zoom in to look the map in details

Generating fantasy maps

These are some notes on how I generate the maps for my Twitter bot @unchartedatlas, which is in accordance with a generator I at the start produced during NaNoGenMo 2015. There's JavaScript code for the generator on Github here, and the original messy Python generator code can be observed right here.

You can be interested on this better half piece, which describes the placename generation.

Inspiration

I wanted to make maps that appear to be something you would find behind one in all the inexpensive paperback fantasy novels of my youth. I all the time had a fascination with these imagined worlds, that have been regularly a lot more attention-grabbing than whatever luke-warm sub-Tolkien story they were hooked up to.

At the same time, I wanted to play with terrain generation with a physical basis. There are numerous articles on the net which describe terrain era, and they virtually all use some variation on a fractal noise approach, both directly (by adding layers of noise purposes), or indirectly (e.g. thru midpoint displacement). These strategies produce a lot of fantastic element, however the large-scale construction all the time appears to be like a little bit off. Features are hooked up in random tactics, with no concept to the processes which shape landscapes. I sought after to check out one thing a bit bit different.

There are a couple of other stages to the generator. First we increase a height-map of the terrain, and do things like routing water waft over the surface. Then we will be able to render the 'bodily' portion of the map. Finally we will position cities and 'areas' at the map, and place their labels.

Grids

To constitute the heightmap, first we'd like a grid of issues. Although it may be more effective to work on a standard sq. grid, I a lot prefer to work on an irregular set of points for one thing like this. With an ordinary grid, it is very easy to run into weird artifacts, and also you frequently have to do a large number of postprocessing to hide the results of the grid. If you use an irregular grid, then there are a few issues which can be extra complicated, however the structure of the grid is helping to give the map a coarse, organic feel, and you never have to fret about nasty linear artifacts within the finished product.

The means I exploit is the same as in this article, which is likely one of the better references available in the market on how one can do non-fractal terrain generation. I would possibly not cross into too much element right here as a result of that article explains it very obviously, with numerous diagrams.

I get started via selecting points at random throughout the map. These points have a tendency to be a bit clumpy and asymmetric, so I take advantage of Lloyd relaxation to improve the purpose set. For velocity, I most effective use one iteration of this process, but you can repeat it as again and again as you prefer. There are all of a sudden diminishing returns after a few iterations though.

All of the calculations are in truth performed on the 'dual issues' of the original point set, which correspond to the corners of the Voronoi polygons. This has the merit that the number of neighbours according to node is fastened at 3, which helps in some parts of the code.

Note: this presentations 256 (28) points, to make viewing easier, however the actual generator uses 16,384 (214) points. I have a programmer's superstitions about always the use of powers of two, which are more satisfying to the spirit of the machine.

Rough outlines

One of the difficulties of constructing landscapes in a realistic means is that real landscapes don't seem to be created . Instead, they evolve from earlier landscapes, which in turn developed from even previous landscapes, and so on back for billions of years. There's no good method to simulate this procedure in a affordable period of time, so we want to cheat moderately.

Rather than a vast regress of older landscapes, I get started with a simple 'proto-landscape', constructed with geometric primitives. This lets me control the large outlines of the terrain, whilst leaving the main points for the extra physical processes to fill in later.

Some helpful primitives which we can upload in combination:

Constant slope - if you wish to faux that is bodily motivated, bring to mind it as tectonic uplift on one facet of the map Cone shapes - these can also be islands or mountains, or if inverted, lakes or seas Rounded blobs - these make better hills, and may also be scattered throughout to make a noisy floor

We even have a couple of operations which can be handy:

Normalize - rescale the heights to lie in the vary 0-1 Round - normalize, then take the square root of the height value, to spherical off the tops of hills Relax - substitute each and every top price with the common of its neighbours, to easy the skin Set sea degree - translate the heightmap up or down in order that a particular quantile is at zero

The particular sequence of primitives and operations used will also be various to provide different varieties of panorama, reminiscent of coastlines, islands and mountain ranges.

Note: the black line signifies the zero contour, which we deal with as 'sea degree'. Also, this map makes use of 4,096 (212) points, for velocity.

Erosion

The results of this procedure could be a little bit on the blobby facet, because of this they infrequently look good on their own. We want to scuff them up just a little, in order that they glance more like actual landscapes. We do that through applying an erosion operation.

In most of the world, via far the biggest influence at the form of landforms is fluvial (water-based) erosion. Water flows downhill, sporting sediment alongside with it, carving out valleys and river basins. This is a vastly complex phenomenon, and modelling it as it should be is an overly active research house, but we can get a ways by means of sketching a easy model of the process.

We want to get started via tracing the routes that water would take over the grid. For every grid point, we are saying that water flows to its lowest neighbour, and so forth down until we achieve the edge of the map. This gives a map of water flow.

There's an evident drawback once we succeed in gridpoints which are not up to all of their neighbours. Do we route the water back uphill? This will most certainly result in cycles within the water gadget, which might be bother. Instead, we wish to fill in those gaps (frequently referred to as sinks or depressions), in order that the water always runs downhill all of the technique to the edge.

It's easy to look how to fill in one gridpoint, however as the despair gets bigger, and perhaps links up with other depressions, the number of imaginable instances multiplies drastically. Luckily, there's an set of rules for filling depressions, called the Planchon-Darboux set of rules.

Aside: the Planchon-Darboux algorithm

The algorithm works via finding the bottom surface with the following two homes:

The surface is far and wide at least as top as the input surface Every non-edge point has a neighbour which is lower than it

To calculate this, we start with an infinitely top floor far and wide with the exception of at the edge, where we use the original heights. Then, on every iteration, we find points that have a neighbour which is not up to them, and set their top to their unique height, or the peak in their lowest neighbour (plus a small amount), whichever is higher. We halt when we will cross a full iteration without converting any point.

There are quite a lot of tactics of dashing up this algorithm, mostly by way of tweaking the order in which issues are visited. For more main points, and a proof of correctness, you'll be able to learn the original paper.

With the water routing calculated, we will determine how much water is flowing thru every level. I assume that rainfall is constant throughout the whole map, and iterate in the course of the issues in descending order, passing the rainfall, plus the collected water flux, from every level to its 'downhill level'. This gives a map of water flux, which most often converges into a nice branching river construction, with numerous small streams feeding a larger central channel.

To calculate erosion, I mix the water flux with the slope at every level, as calculated in response to the triangle of its neighbours. The actual components I take advantage of is the manufactured from the slope with the square root of the water flux. This isn't necessarily very bodily, but it does give nice-looking effects. I also upload a small time period which is proportional to the slope squared. This prevents deep gorges from forming, which could be physically realistic, but don't look just right within the graphical taste I've selected.

I to find it is essential to cap the erosion fee, in a different way unusual things can happen. Somewhat is going a very great distance with this. Also, erosion at all times lowers the surface, so it typically helps to drop the ocean level afterwards to check.

A final tweak to the heightmap is to smooth out the coastlines rather. The erosion has a tendency to provide rather rough terrain, which turns into tiny islands when cut off through sea degree. A couple of of those can glance just right, however too many simply seems to be messy. I many times practice a filter the place points which can be under sea stage, however a majority of whose neighbours are above sea level, get pulled up, and vice versa for issues which might be above sea stage and feature undersea neighbours. A couple of repeats of this produces a miles cleaner beach.

Rendering terrain

Now comes the query of drawing the map (a minimum of the bodily portion). The easy part is the sea coast - we've been doing this already. It's just a topic of drawing line segments the place the heightmap crosses 0. There's no longer so much additional to do about this.

The next component is the rivers. We don't want to show the entire drainage community, as a result of that will quilt the entire map. Instead, we most effective show the drainage from issues with above a certain threshold of water flux. By connecting these points to their downstream neighbours, we will trace out the river paths.

One drawback with this approach is that the rivers tend to zigzag from grid point to grid level, reasonably than following a smooth path. To clear up this, I calm down the points in the midst of the path against their upstream and downstream neighbours (retaining the highest and bottom fastened, in order that intersections work correctly). This smooths issues out superbly.

The ultimate a part of this is the shading at the facets of hills, which helps point out the topography. It is a central principle of cartography that we tend to interpret maps as even though viewing the terrain from the ground of the map, browsing in opposition to the highest. So we want to draw strokes which move up and proper if the terrain slopes upwards from left to right, and down and proper if the terrain slopes downwards. Similarly, the strokes at the 'near' facet of hills must be longer than those on the 'some distance' aspect.

For each grid level, I calculate the slope, and forget about the purpose whether it is less than a random threshold. For points which cross this check, I draw a short stroke with slope proportional to the horizontal element of the heightmap slope, with a small modifier for the vertical component. If the stroke would be too steep, I cut up it into several shorter strokes, on the maximum slope, drawn at random around the point.

Cities, borders

Now that we have the 'bodily' portion of the map taken care of, we can transfer to looking on the 'political'. We need to position cities and towns on the map in feasible-looking places. At the same time, we want the towns to be spread out enough that we can put labels on them without being worried an excessive amount of about overlap.

To position a town, I generate a ranking for every point, which is a mix of 3 issues:

Water flux - we want towns to be preferentially situated on rivers, so prime water flux gets a bonus Distance from different cities - we want cities to be unfold out, so penalize places which can be too just about an present town Distance from the brink of the map - the opposite two standards alone have a tendency to push cities to the map edge, which is not perfect, so penalize places too close to the edge

Every time I upload a town, I select the purpose with the best ranking, then recalculate the scores for all points. I make a difference between towns, that have a 'area' associated with them, and cities, which do not. The cities are placed first, however in a different way there is not any difference within the code.

The subsequent step is to mark out the regions. We need the borders between areas to look rather reasonable, following herbal borders like rivers and mountain levels. The approach I way that is to increase areas outwards from every city, so that each and every area is composed of the points which might be 'closest' to its city, according to a selected distance measure. This distance measure is calculated via including up the cost of the course, in response to those standards:

Horizontal distance Slope - uphill is far less expensive than downhill, so regions make bigger until they hit the highest of ridges, then forestall Water flux - crossing a river is costly Shorelines - there's a broad penalty for going from land to water (or vice versa), and a smaller penalty for travelling by water

Finally, the borders are drawn, the use of the same smoothing method because the rivers.

Placing labels

At this level we will get started naming things, using the process described in those notes. I generate names for cities, towns and areas, using a constant language for the whole map.

The very last a part of the method is to put the labels, avoiding overlaps, obscured cities, labels going off the brink of the map, and so forth. This sounds easy, but it surely actually truly isn't. Ideally, some form of intelligent format set of rules would place all of the labels, rearranging as vital. Instead, I have a few hundred strains of spaghetti code which seems to get the proper resolution many of the time, however which is packed filled with magic numbers.

In tough outline, what happens is this: the labels are placed in the order 1. towns, 2. towns, 3. areas. For towns and towns, there are four conceivable slots for the label, above, under, and to each and every side of the marker. Each label is positioned, making an attempt to avoid the next overlaps (in tough order of importance):

City markers Other town labels The map edge Borders Coastlines Rivers

Obviously it is not typically conceivable to steer clear of all of these, so the least bad resolution is chosen.

For regions, there's a bit extra freedom in where to place the label, but the labels are also bigger, and the map is extra cluttered at this level. The scoring gadget charges positions in response to proximity to the middle of the area, in addition to being over land, and consequences for all of the overlaps mentioned earlier than.

I sought after to make a nice interactive instance for this, but trying to separate out the label placement code made me feel physically sick. Sorry about that.

So that's the set of rules, no less than in tough define. The precise code operating on the bot has a few other little bits and items, which honestly don't do a lot, however eliminating them is more trouble than it's value when the code is working as it stands. The JavaScript code behind this web page is to be had on GitHub, and if you're actually truly courageous you can have a look at the unique Python code which was written whilst I was figuring all this out.

There's clearly a lot which may be finished to improve this. Erosion is just one process, and the next obtrusive thing to add can be fluvial deposition, which would permit for flood plains, river deltas, and so forth to shape. If you wanted extra realistic mountains, then glacial processes could be price searching at. Volcanic stuff could also be amusing.

On the graphical aspect, it could be fun to try to caricature more interesting textures at the map, akin to forests or fields. Or it's essential fill the oceans with sea monsters and misplaced ships. If you might be actually courageous, you want to even glance at labelling extra features, like mountain levels and rivers.

As at all times, when you do any of this stuff, or make anything interesting with this code or these concepts, please get in touch and let me know.

If you would like to purchase a print of such a maps, please visit my internet store.

If you could have loved this piece, please believe contributing on Patreon so I can do more such things as this.

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