You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors. Our vector data source will be OpenStreetMap which makes its data available under the Open Database License (ODbL). This pre-processing makes it really easy for a "tileserver" to serve only the relevant data for the current view and zoom of a map viewport, which is far more efficient than trying to load an entire raw dataset.Ī tileset can contain vector or raster data, however we will be creating a tileset of vector data. Tilesets are a way of storing geographic data that has been split up into a uniform grid of tiles, and pre-processed to be displayed at preset zoom levels. Npm install -G tileserver-gl-light # The -G flag will make the tileserver package available "G"lobally Vector Tiles Navigate to a working directory of your choice and then clone the openmaptiles repository using git. Once NodeJS, Docker, docker-compose, and git are installed we can set up the other tools required to create the vector tiles and tileserver. The following tools will need to be installed: This tutorial will require some basic command line use (running commands, changing directories) and will be done in a Linux environment on Ubuntu, however it is possible to complete these steps on Windows, macOS, and other Linux distributions as well. This tutorial will show how to create a custom basemap using open data, how to apply a customized style to the basemap, and how to use the basemap in a mapping application. The styling of a basemap can also affect the aesthetic of a map, however the appearance of basemaps is generally controlled by the original creator of the basemap. However they can be hard to come across and are typically only available under a copyright or license that makes the unusable for many projects. 4.2 Creating Custom OpenStreetMap Data Extractīasemaps play an important role in giving geographic context to a map,.
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