## OpenMapTiles OpenMapTiles is an extensible vector tile schema you can use or mix and match to create your own vector tile sets. It is used by [OSM2VectorTiles](http://osm2vectortiles.org/) and we encourage you to collaborate, reuse and adapt existing layers and add your own layers. You define a self contained **Layer** together with SQL files and layer and data source definitions (like an imposm3 mapping file) that you can then reference in a **Tileset** where you mix and match with other layers. ## Styles You can start from several styles supporting the OpenMapTiles vector schema. - [OSM Bright](https://github.com/openmaptiles/osm-bright-gl-style) - [Positron](https://github.com/openmaptiles/positron-gl-style) - [Dark Matter](https://github.com/openmaptiles/dark-matter-gl-style) - [Klokantech Basic](https://github.com/openmaptiles/klokantech-basic-gl-style) ## Layers ### Standard Layers OpenMapTiles contains a collection of Natural Earth and OSM based layers (with imposm3 mapping) you can modify and adapt. We welcome new standard layers from other data sources or import tools (like osm2pgsql with ClearTables). Each layer is documented and self contained. Click on the link for each layer to get more information. Layers can be chosen to create a **Tileset** like the `openmaptiles.yaml` tileset. - [boundary](https://github.com/openmaptiles/openmaptiles/wiki/boundary) - [building](https://github.com/openmaptiles/openmaptiles/wiki/building) - [transportation](https://github.com/openmaptiles/openmaptiles/wiki/transportation) - [transportation_name](https://github.com/openmaptiles/openmaptiles/wiki/transportation_name) - [housenumber](https://github.com/openmaptiles/openmaptiles/wiki/housenumber) - [landcover](https://github.com/openmaptiles/openmaptiles/wiki/landcover) - [landuse](https://github.com/openmaptiles/openmaptiles/wiki/landuse) - [place](https://github.com/openmaptiles/openmaptiles/wiki/place) - [poi](https://github.com/openmaptiles/openmaptiles/wiki/poi) - [park](https://github.com/openmaptiles/openmaptiles/wiki/park) - [water](https://github.com/openmaptiles/openmaptiles/wiki/water) - [water_name](https://github.com/openmaptiles/openmaptiles/wiki/water_name) - [waterway](https://github.com/openmaptiles/openmaptiles/wiki/waterway) ### Define your own Layer Take a look or copy a standard layer like [building](layers/building/README.md) to get started with your own layer. A layer consists out of a **Layer** definition written in YAML format. There you specify the `layer` proerties like `id`, `buffer_size` and possible Markdown documentation (`description` and `fields`). You can also reference SQL files in `schema` for writing the necessary queries for your layer or create generalized tables. We encourage you to have a function per layer which takes the bounding box and zoom level. This makes it easy to test and reuse. If your data is based of OSM you can also directly reference a [imposm3 mapping file](https://imposm.org/docs/imposm3/latest/mapping.html) to choose the OSM data you need. ```yaml layer: id: "building" description: Buildings from OpenStreetMap buffer_size: 4 datasource: query: (SELECT geom FROM layer_building(!bbox!, z(!scale_denominator!))) AS t fields: render_height: An approximated height from levels and height of building. schema: - ./building.sql datasources: - type: imposm3 mapping_file: ./mapping.yaml ``` ### Define your own Tileset A **Tileset** defines which layer will be in your vector tile set (`layers`) and metadata used for generating a TM2Source project to actually generate the vector tiles. ```yaml tileset: layers: - layers/building/building.yaml - layers/housenumber/housenumber.yaml - layers/poi/poi.yaml name: Street Level description: A tileset showing street level info like building, housenumbers and POIs. attribution: "OpenStreetMap contributors" maxzoom: 14 minzoom: 13 center: [-12.2168, 28.6135, 4] ``` ## Develop To work on OpenMapTiles you need Docker and Python. - Install [Docker](https://docs.docker.com/engine/installation/). Minimum version is 1.10.0+. - Install [Docker Compose](https://docs.docker.com/compose/install/). Minimum version is 1.6.0+. - Install [OpenMapTiles tools](https://github.com/openmaptiles/openmaptiles-tools) with `pip install openmaptiles-tools` ### Build Build the tileset. ```bash # Build the imposm mapping, the tm2source project and collect all SQL scripts make # You can also run the build process inside a Docker container docker run -v $(pwd):/tileset openmaptiles/openmaptiles-tools make ``` ### Prepare the Database Now start up the database container. ```bash docker-compose up -d postgres ``` Import external data from [OpenStreetMapData](http://openstreetmapdata.com/), [Natural Earth](http://www.naturalearthdata.com/) and [OpenStreetMap Lake Labels](https://github.com/lukasmartinelli/osm-lakelines). ```bash docker-compose run import-water docker-compose run import-natural-earth docker-compose run import-lakelines ``` Import [OpenStreetMap](http://wiki.openstreetmap.org/wiki/Osm2pgsql) data with the mapping rules from `build/mapping.yaml` (which has been created by `make`). ```bash docker-compose run import-osm ``` ### Work on Layers Each time you modify layer SQL code run `make` and `docker-compose run import-sql`. ``` make clean && make && docker-compose run import-sql ``` Now you are ready to **generate the vector tiles** using a single process (for a full blown distributed workflow of rendering tiles check out [openmaptiles/distributed](https://github.com/openmaptiles/distributed)). Using environment variables you can limit the bounding box and zoom levels of what you want to generate (`docker-compose.yml`). ``` docker-compose run generate-vectortiles ``` To look at the vector tiles you can start up Mapbox Studio Classic in a container and visit `localhost:3000` and open the vector source project under `/projects`. ```bash docker-compose up mapbox-studio ``` ![Develop on OSM2VectorTiles with Mapbox Studio Classic](./mapbox_studio_classic.gif) ## License All code in this repository is under the [MIT license](./LICENSE) and the cartography decisions encoded in the schema and SQL is licensed under [CC0](https://creativecommons.org/publicdomain/zero/1.0/).