The Atlas
is a way to efficiently represent OpenStreetMap data in memory. A subset of the data is in a "navigable network" form, meaning anything that is assumed to be navigable will be in a form of Node
s and Edge
s in a way a routing algorithm could traverse it. It also provides easy to use APIs to access geographical data. On top of it all, it is easy to shard and re-stitch, making it perfect for distributed processing!
To contribute to the project, please see the contributing guidelines.
Edge
s andNode
s for navigable items (Roads, Ferries)Area
,Line
andPoint
for non-navigable features (Parks, Power Lines, POIs)Relation
s (mirroring OSM Relations) linking features together- All features can return the
Relation
s they belong to
- All features can return the
- Full tag map coming from OSM on each feature
- Full geometry for every feature except
Relation
s. - All the entities are spatially indexed using R-Tree and Quad-Tree implementations from JTS
ComplexEntity
(ies): Entities built on the fly from an Atlas. For concepts that are higher level than a simple feature. Example:ComplexBuilding
with multipolygon and parts, orComplexTurnRestriction
.- Stitching: Combine multiple
Atlas
into oneMultiAtlas
- Soft cut: create a new
Atlas
from an originAtlas
based on a polygon or a predicate.
- Grab one or more Atlas files (from here or after building them yourself), and open them with
AtlasResourceLoader
:
final File atlasFile = new File("/path/to/source.atlas");
final Atlas atlas = new AtlasResourceLoader().load(atlasFile);
Query the data. Examples:
- Get all edges within boundaries:
Rectangle rectangle = ...;
atlas.edgesIntersecting(rectangle).forEach(edge -> ...);
- Find all the parks with less than 6 shape points:
Predicate<Area> filter = area -> {
return Validators.isOfType(area, LeisureTag.class, LeisureTag.PARK)
&& area.asPolygon().size() < 6;
}
atlas.areas(filter).forEach(area -> ...);
or
Predicate<Area> filter = area -> {
return "park".equals(area.getTags().get("leisure"))
&& area.asPolygon().size() < 6;
}
atlas.areas(filter).forEach(area -> ...);
- Find all buildings with a hole:
ComplexBuildingFinder finder = new ComplexBuildingFinder();
Iterables.stream(finder.find(atlas))
.filter(complexBuilding -> !complexBuilding.getOutline().inners().isEmpty())
.forEach(complexBuilding -> ...);
- How many
Edge
s are connected to aNode
:
long identifier = 123;
int numberOfConnectedEdges = atlas.nodeForIdentifier(identifier).connectedEdges().size();
or
long identifier = 123;
int numberOfConnectedEdges = atlas.nodeForIdentifier(identifier).absoluteValence();
final File pbfFile;
final OsmPbfLoader loader = new OsmPbfLoader(pbfFile, MultiPolygon.MAXIMUM,
AtlasLoadingOption.withNoFilter());
final Atlas atlas = loader.read();
Usually OSM boundaries and coastlines do not work well with JTS and country-slicing with themselves. The default osmPbfWayFilter
in the AtlasLoadingOption
will filter those out:
final File pbfFile;
final OsmPbfLoader loader = new OsmPbfLoader(pbfFile, MultiPolygon.MAXIMUM,
AtlasLoadingOption.createOptionWithAllEnabled());
final Atlas atlas = loader.read();
When specifying a shard for building an Atlas
from an .osm.pbf
file, the generator will do a soft cut along the borders of the shard:
final File pbfFile;
final Rectangle shard;
final OsmPbfLoader loader = new OsmPbfLoader(pbfFile, MultiPolygon.forPolygon(shard),
AtlasLoadingOption.createOptionWithAllEnabled());
final Atlas atlas = loader.read();
OSM ways usually span multiple intersections in the case of roads. To make the road network a navigable network, the process of loading an .osm.pbf
file runs "way sectioning". It will follow a set of rules to break ways at intersections, and create Atlas
Edge
s. For that, it pads the OSM feature identifiers with six digits starting from 1 to the number of sections. For example, way 123 would become Edge
s 123000001, 123000002 and 123000003 if it has to be broken twice.
In case of building an Atlas that is hard-cut along a polygon (usually a country boundary with boundary=administrative and admin_level=2), the process of loading an .osm.pbf
file runs "country slicing". All the features that span outside of the boundary will be cut at the boundary and excluded. All the features that are inside will be assigned a country code tag if a country code is given with the AtlasLoadingOption.
The AtlasLoadingOption
contains all the country boundaries, along with the country codes in a CountryBoundaryMap
.
All feature identifiers will be padded and the first 3 digits of the 6 digit padding (described above) will be a country counter. If a Line
123 spans 2 countries, gets out and comes back for example, it will ship with 123001000 and 123001002 within the first country, and 123002001 in the country where it spans out (in a separate Atlas
).
Way-sectioning logic, edge definition and which pbf entities (Way, Node, Relation) are brought into an Atlas
are all configurable. The default configurations can be found in the main resources directory as json files (see atlas-way-section.json for an example of the way section configuration). These configurations are initialized and can be set in AtlasLoadingOption
.
The PackedAtlasBuilder
is here for that. It ensures that all the data that makes its way to an Atlas is consistent (for example making sure that if an Edge
says its start Node
is 123, then Node
123 really exists) and that an Atlas is final and cannot be modified once it has been accessed once.
- First add all the
Node
s - Then add all the
Edge
s,Area
s,Line
s andPoint
s in any order. - Finally add all the
Relation
s from the lowest order (no otherRelation
is within its members) to the higher order (otherRelation
s are within its members). ThePackedAtlasBuilder
will throw an exception if aRelation
is added and any of the listed members have not already been added.
The Atlas
API offers a save(WritableResource)
method, that is implemented by PackedAtlas
. Trying to save a MultiAtlas
will result in an exception suggesting to copy the Atlas
to a PackedAtlas
first.
From any Atlas
, a PackedAtlas
can be created and saved to a WritableResource
(A File for example). This is done with the PackedAtlasCloner
:
final Atlas atlas1;
final Atlas atlas2;
new PackedAtlasCloner().cloneFrom(new MultiAtlas(atlas1, atlas2)).save(new File("/path/to/file.atlas"));
This is the base Atlas
. It is immutable, and stores all its items in large arrays in memory.
All information is kept in large arrays in memory. Each array contains data for a specific type, with each index in the array always representing the same feature. For example, there is an array that contains the Edge
start nodes indices, another one that contains the Edge
end node indices. In each of those two arrays, the item at index 3 is always in reference to the same Edge
with OSM identifier 123. Here are all the most important arrays in the PackedAtlas:
dictionary
edgeIdentifiers
nodeIdentifiers
areaIdentifiers
lineIdentifiers
pointIdentifiers
relationIdentifiers
edgeIdentifierToEdgeArrayIndex
nodeIdentifierToNodeArrayIndex
areaIdentifierToAreaArrayIndex
lineIdentifierToLineArrayIndex
pointIdentifierToPointArrayIndex
relationIdentifierToRelationArrayIndex
nodeLocations
nodeInEdgesIndices
nodeOutEdgesIndices
nodeTags
nodeIndexToRelationIndices
edgeStartNodeIndex
edgeEndNodeIndex
edgePolyLines
edgeTags
edgeIndexToRelationIndices
areaPolygons
areaTags
areaIndexToRelationIndices
linePolyLines
lineTags
lineIndexToRelationIndices
pointLocations
pointTags
pointIndexToRelationIndices
relationMemberIndices
relationMemberTypes
relationMemberRoles
relationTags
relationIndexToRelationIndices
relationOsmIdentifierToRelationIdentifiers
relationOsmIdentifiers
All Atlas features are following the flyweight design pattern. What that means is every PackedEdge
, PackedNode
, PackedArea
, PackedLine
, PackedPoint
or PackedRelation
contains only two things: a reference to the Atlas object it belongs to, and the index it is positioned at in all the arrays in that Atlas. This makes the feature objects really lightweight and fast to create.
When a user asks for the incoming edges to a PackedNode
, then the PackedNode
relays the query to its own PackedAtlas
along with its index, and the PackedAtlas
returns the result which is relayed to the user by the PackedNode
object.
A PackedAtlas
can be serialized to a WritableResource
using the PackedAtlasSerializer
. During that process, all the arrays are pushed to a non-compressed zip stream in which each array is a zip entry with the same name. Each array is serialized in its zip entry using standard Java serialization.
In case the Resource
is a file, then the user has random access to each zip entry. That means that all the arrays are lazily de-serialized only when needed. This is extremely useful when opening an Atlas file just to check Node
connectivity for example. Only the arrays relative with Node
s and Edge
s will be loaded.
This is a stitched Atlas
. It is made of multiple sub-Atlas
(which themselves can be PackedAtlas
or MultiAtlas
) and takes care of conflating and stitching at the intersection points.
Flyweight MultiAtlas
When creating a MultiAtlas
from multiple other Atlas
objects, no data is copied. The MultiAtlas
builds array references to remember for example where each available Edge
is relative to the sub Atlas
, but does not copy the Edge
data. When an Edge
is requested, it creates a MultiEdge
that contains only its identifier and the MultiAtlas
it belongs to. When a user asks for the Node
s connected to that Edge
for example, the MultiEdge
relays the query to its MultiAtlas
that relays the query to the appropriate sub-Atlas
which returns the result to be relayed back to the user.
Way sectioning assumes knowledge of the surrounding geometries to be able to know where to make a cut. In some cases, for a specific way, a shard will have knowledge of an intersection at a point we can call P1. Another shard that contains the same way has knowledge of an intersection at another point P2. But both shards do not have knowledge of the other shard's intersection point. The first shard would then have a split way at P1, and the other shard the same way split at P2. To prevent from showing discrepancies, the MultiAtlas
identifies those issues and would present a way that is split at P1 and P2, with the related fixes to Edge
identifiers, and Node
connectivity.
For more information, please contact our community projects lead Andrew Wiseman.