![]() ![]() ![]() The folder path is is the extension of tile format ( png, jpg, webp, …). Almost every open source and commercial Maps API provider as well as OpenStreetMap and MapTiler Cloud Maps APIs are now using this projection and tiling profile and the tiles are therefore compatible with each other. The entire world looks like a square, which makes it easy to work with on a computer. They chose a Spherical Mercator projection because it preserves shape and angles. Google Maps was one of the first systems to display dynamic maps on the web. OpenGIS WMTS / OpenStreetMap / Google XYZ / ZXY The difference can be visible in the image below, where Google is Top-Left, and TMS is Bottom-Left. Y goes from the bottom edge, starting with 0 to the top edge of the map Y goes from the top edge, starting with 0 to the bottom edge of the map X goes from the left edge, starting with 0 to the right edge of the map The important part of the tiling scheme definition is the location of origin = the first tile in the defined area and vertical/horizontal orientation for the following tiles (referred to as increasing numbers). The folder structure depends directly on the tiling scheme and will be defined below for each available scheme in MapTiler Engine. Each zoom level is a folder, each column is a subfolder, and each tile in that column is a file. The map tiles are structured into folders, and the final tile image is a file within one of these folders. The most popular and world-used scheme used by many map providers (such as OpenStreetMap, Google Maps, MapTiler, Mapbox, …) was defined by Open Geospatial Consortium (OGC) in the WMTS standard definition released in 2010 and is simply called XYZ, or sometimes precisely ZXY (see later). There were defined multiple world-known standards for naming map tiles. Displaying any dynamic map using map tiles requires a system for naming these map tiles - simply called tiling scheme (or shortly scheme, in MapTiler platform). ![]() The map of the world is divided into small squares, each with a fixed geographic area and scale, called the map tiles. This option will be saved and used for each rendering afterward when you choose the Folder output type for your tiles (instead of GeoPackage). Open the MapTiler Engine application and go to File → Global settings, where you can change the tiling scheme. Alternative with command line for MapTiler Engine is available publicly now, see the link to the manual below. The global settings dialog is available since MapTiler Engine 11.3 ( TO-BE-RELEASED). You will learn what a tiling scheme is and what options MapTiler Engine offers for its utilization. However, when I try to add a different GeoJSON file (containing polygons of Illinois zip codes), I get the error: ` article will show you how to work with the tiling scheme for the Folder output in MapTiler Engine. setContent(properties.name || properties.type) I am able to integrate the example into our app like this. Update: I learned about the Leaflete.vectorGrid npm package at suggestion. How can we still achieve this chloropleth end result, but faster? We can do this already by fetching the age statistics from our database and mapping them to the zip code in the GeoJSON. I see it is possible to create custom raster map tiles with MapTiler, but how can I create a custom map containing zip code polygons? We would like to color each zip code to match a statistic such as the average age in that zip code. How can we achieve this more quickly? I am open to using a paid third party software, such as MapTiler. Our client code pulls this file from an external github repository. Some of these files, such as the file containing polygons for all zip codes in a US state are very large and load too slowly. I have a Vuejs app containing a Leaflet map that displays GeoJSON files. ![]()
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