Interactive map content
RawMaps content by map
Each map on RawMaps has its own topic, data logic, and reading style. Switch maps in the left control and the content below updates to match the current layer.
World maps
Countries
This map is the political backbone of RawMaps. It is built for reading countries as spatial objects first: shape, border placement, relative size, neighbors, coastlines, and the way territory sits inside the wider physical landscape.
What the map emphasizes
Instead of treating a country as just a label in a list, RawMaps presents it as a full map object with popup content, linked media, and direct visual context. Borders, enclaves, coastlines, and regional position matter as much as the name itself.
What makes it useful
The Countries view works well for browsing sovereign states, comparing large and small territories, and checking how political units fit against relief, neighboring states, and major geographic patterns.
What supports the map
Popups can combine names, identifiers, images, flags, coats of arms, and descriptive notes. That turns a plain political map into a compact country reference layer without leaving the map interface.
World maps
Economic Zones
The Economic Zones map shifts attention from land borders to maritime control. It is meant to show how far state influence reaches into surrounding seas through exclusive economic zones and how those claims reshape the practical geometry of the world map.
Why this map matters
Countries that look modest on land can control vast maritime areas. Islands, archipelagos, and remote possessions can create enormous sea zones, which makes this layer valuable for understanding fisheries, offshore resources, sea access, and maritime disputes.
How to read it
- Compare coastal states with landlocked states.
- Look for narrow seas where zones meet or collide.
- Notice how islands project influence far beyond the mainland.
Content logic
This map relies on polygon data rather than imagery alone, so it can be explored like a legal-geographic layer rather than a decorative ocean basemap.
World maps
Earth
Earth is the physical reference map inside RawMaps. It is the place where terrain, satellite imagery, labels, relief, and direct navigation all come together before the project jumps into non-Earth layers.
What appears here
Relief, land cover, satellite imagery, roads, settlements, and labels can be combined in different ways, making Earth the most familiar map in the project and also the calibration point for the more experimental maps.
Why it belongs in RawMaps
Earth proves that the project is not only about novelty. It also handles the classic problems of map use: where things are, how far apart they are, what terrain looks like, and how political information sits on top of the physical world.
World maps
National Flags
This layer turns the world map into a flag atlas tied directly to territory. Instead of browsing flags in alphabetical lists, users can see them anchored to the countries they represent.
1. Spatial reading
Flags become easier to remember when they are seen in geographic context: region, neighbors, coastline, and continent all support recognition.
2. Visual comparison
The map helps compare repeating color traditions, shared motifs, and regional flag families without leaving the main interface.
3. Linked country context
Because the layer is tied to country geometry and popups, it can work as both a visual gallery and a geographic lookup tool.
World maps
Coats of Arms
The Coats of Arms layer is a heraldic reading of the political map. It gives each country a second identity beyond flag colors by connecting state symbols, shields, animals, crowns, plants, and historical emblems to the place itself.
Symbolic reading
Heraldry tends to carry older state traditions than flags. This map is useful when the goal is not only to identify a country, but to compare how states choose to represent themselves visually.
Map value
Placed on a world map, coats of arms stop being isolated graphics. They become part of a geographic pattern, which makes regional styles, colonial echoes, and dynastic leftovers easier to notice.
Media logic
Where available, the layer can use larger imagery and richer popup layouts, giving this view a more gallery-like character than a normal political basemap.
Moon
The Moon map focuses on landing sites, missions, and surface exploration history. It combines a planetary basemap with mission markers, timeline filtering, and category logic so that human and robotic exploration can be read directly on the lunar surface.
Landing era logic
Mission points can be filtered and grouped, helping users separate crewed landings, rovers, robotic landers, impactors, and failed attempts. That makes the map work as a chronological story as much as a location viewer.
Why the Moon works on a map
Lunar exploration is much easier to understand when mission names are not detached from the geography. Mare regions, crater fields, and landing clusters immediately show why certain areas became historically important.
Mars
Mars is one of the showcase layers of RawMaps. It combines a planetary surface map with landing sites, rovers, failed missions, and named locations, turning a distant planet into something users can actually browse like a real place.
Mission geography
Rovers, landers, and failed missions gain much more meaning when viewed against actual Martian topography. Jezero, Gale, Olympus Mons, and Valles Marineris are not abstract names here: they sit in visible spatial context.
Why this layer is strong
Mars naturally connects hard science, current missions, public interest, and a powerful visual surface. That makes it one of the few maps that is both educational and immediately dramatic.
How RawMaps uses it
Instead of building a fantasy colonization simulator, the map stays anchored in real data, mission history, and real named places. That keeps the experience grounded and credible.
Space maps
Solar System
This map is RawMaps at its most experimental: a Leaflet view of the Solar System with orbit geometry, body positions, scale play, and popup content for planets and moons. The aim is to make enormous distances and body sizes readable inside a familiar map workflow.
What this map solves
Most Solar System diagrams sacrifice either realism or interactivity. RawMaps tries to preserve both by letting users pan, zoom, measure, inspect bodies, and compare scales in one consistent interface.
How to read it
There are two separate visual questions here: how far bodies are from each other, and how large they should look. The layer therefore uses both real distances and a dedicated visual size control so users can switch between realism and legibility.
Media and popups
Planet and moon popups can include imagery and descriptive data, so the map works as a compact Solar System atlas rather than a static infographic.
Space maps
Nearest Stars
The Nearest Stars map turns the local stellar neighborhood into a browsable field. Instead of thinking of nearby stars as isolated names in astronomy articles, users can see them as spatial neighbors around the Solar System.
Neighborhood logic
This is the first true step beyond the Solar System. It shows that even the nearest stellar environment is already spacious, directional, and structurally harder to imagine than textbook lists suggest.
Best use
Use this layer to compare relative distances, identify familiar nearby systems, and understand how quickly local space grows empty when moving away from the Sun.
Visual style
RawMaps treats stars as readable visual objects while preserving a dedicated interaction layer underneath, which helps keep the map clear without losing interactivity.
Space maps
Milky Way
The Milky Way layer is a bridge between the local stellar neighborhood and the wider extragalactic maps. It places our position inside the structure of the galaxy and makes major regions, directions, and labels more intuitive than a flat astronomy diagram normally does.
Why it matters
The Milky Way is where local astronomy stops being purely planetary and starts becoming structural. Distances are already huge, but they are still tied to a single galaxy users can conceptually treat as home territory.
Map reading
Permanent labels, major reference points, and home-oriented highlights make it easier to read galactic directionality rather than just admire a background image.
Space maps
Local Galaxies
Local Galaxies expands the view from the Milky Way to the nearby group environment. It is about relation and proximity: which galaxies sit near us, which cluster together, and how the local group fits into a broader neighborhood.
1. Start from home
The Milky Way acts as the intuitive anchor, so nearby systems can be read outward instead of as a random field of names.
2. Compare size and mass
Popup fields can turn galaxy labels into a compact reference set, with size, stellar content, and mass information where available.
3. Read the group
The map helps users see that the Local Group is not a single point, but a structured system with major members, dwarfs, and directional arrangement.
Space maps
Laniakea Supercluster
This map moves from galaxies to large-scale cosmic structure. Laniakea is not just a bigger scatterplot; it is a way to understand where the Local Group sits inside a wider gravitational landscape of clusters, clouds, and the direction of the Great Attractor.
Why this layer is different
Unlike the world maps or planetary maps, this one is not about terrain. It is about scale, relation, and structure at the edge of what people can picture intuitively.
What to look for
Use the map to trace the chain from the Milky Way to the Local Group, from the Local Group to larger groupings, and from those groupings toward the supercluster-scale environment.
Why RawMaps keeps it readable
Home-oriented highlighting and concise popup fields keep the map from becoming pure abstraction. It remains explorable rather than merely conceptual.
Space maps
Observable Universe
The Observable Universe map is the widest view in RawMaps. It is designed to give a usable visual frame for something that usually appears only as a textbook figure: the scale of the observable cosmos and where smaller structures fit inside it.
Why it belongs here
Without a top-level cosmic view, smaller maps can feel disconnected. This layer closes the hierarchy by showing where superclusters, galaxy groups, and the local cosmic neighborhood sit inside the largest readable frame.
What it teaches best
The map is especially good at scale shock. It shows how quickly galaxies, groups, and even superclusters shrink when placed inside the observable universe as a whole.
Reading mode
This is less about exact route navigation and more about orientation across orders of magnitude. It is the summary layer that gives meaning to every smaller astronomical map in RawMaps.