mbtiles-spec
com-tiles
mbtiles-spec | com-tiles | |
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4 | 2 | |
587 | 89 | |
0.9% | - | |
0.0 | 3.1 | |
over 4 years ago | 6 months ago | |
TypeScript | ||
GNU General Public License v3.0 or later | MIT License |
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mbtiles-spec
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Beginner Questions about MapBox GL JS
This is definitely possible. A very common use case is publishing custom vector tiles to Mapbox, but since you want to host the tileset itself on your own server, you can use something like tilelive to do so. It's easy to create your own custom .mbtiles with Mapbox Studio, but it's an open specification, so feel free to create your own from arbitrary geographic data.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
Prepare "MBTiles" to store map tiles built-in SQLite for conversion of COMTiles.
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SQLite 3.39.2
> I once experimented with using SQLite as a file store for small images
Mapbox productionized this with their MBTiles [0] format, to store millions of small vector or raster map tiles in an SQLite database. Much easier to work with than millions of images on disk.
[0]: https://github.com/mapbox/mbtiles-spec
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Serving open street map vector tiles with elixir and phoenix
Some background on mbtiles files from mapbox/mbtiles-spec
com-tiles
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
This time I examined COMTiles(Cloud Optimized Map Tiles). COMTiles are often compared to PMTiles, but I have the impression that PMTiles are becoming more popular these days. The technology of COMTiles is excellent, but it is not yet easy to introduce because the library is not published in “npm,” and the documentation is incomplete. One of the reasons for PMTiles' popularity is due in part to its extensive documentation. This article will be of some help to those who are considering introducing COMTiles!
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Show HN: Mbtiles-S3-server – serve vector map tiles directly from mbtiles on S3
Com-tiles[1] also looks pretty good, a bit more optimized than pmtiles.
The whole cloud optimized vector tile/data space is next after COGs (cloud optimized geotiffs). Point-clouds are also getting the index-range-request treatment as COPC[2].
[1] https://github.com/mactrem/com-tiles
What are some alternatives?
geoparquet - Specification for storing geospatial vector data (point, line, polygon) in Parquet
L7 - 🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.
Leaflet.VectorGrid - Display gridded vector data (sliced GeoJSON or protobuf vector tiles) in Leaflet 1.0.0
mod_mbtiles - Serve tiles with Apache directly from an .mbtiles file
mbutil - Importer and Exporter of MBTiles
mbtiles-s3-server - Python server to on-the-fly extract and serve vector tiles from an mbtiles file on S3
flatgeobuf - A performant binary encoding for geographic data based on flatbuffers
ngx_http_mbtiles_module - A nginx module to serve map tiles directly from mbtiles container files
PMTiles - Cloud-optimized + compressed single-file tile archives for vector and raster maps
planetiler - Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
tilelive - fast interface to tiles with pluggable backends - NOT ACTIVELY MAINTAINED
athena-sqlite - A SQLite driver for S3 and Amazon Athena 😳