tippecanoe
gdal
tippecanoe | gdal | |
---|---|---|
7 | 44 | |
772 | 4,498 | |
5.2% | 1.7% | |
8.0 | 10.0 | |
23 days ago | 3 days ago | |
C++ | C++ | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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tippecanoe
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Geospatial Nix – create, use and deploy today
This is awesome. Such a great use case for nix.
I do a lot of geospatial processing in the cloud and I've been using Tippecanoe a lot to create vector tiles. It pairs well with PM Tiles for storing on the cloud. It seriously increases the web app performance for massive data sets. I queue these up with ECS tasks to process our json/csv/parquet input and create optimize vector tile outputs.
https://github.com/felt/tippecanoe
https://github.com/protomaps/PMTiles
Tippecanoe would be a great addition to your nix packages. I've been thinking more and more about how Nix could fit into this pipeline.
Great work!
- Protomaps – A free and open source map of the world
- How The Post is replacing Mapbox with open source solutions
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Self-Hosted Vector Tiles
I'm the author of a few of the tools mentioned in this post!
A convenient new development is instead of using tippecanoe -> go-pmtiles to create PMTiles archives, you can now output .pmtiles directly:
tippecanoe -o bks2.pmtiles mainroad.geojson ...
This is available in Tippecanoe (https://github.com/felt/tippecanoe) v2.17 and later.
Thanks to Felt (https://felt.com) for supporting this open source work.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
tippecanoe
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How would you generalize a very high density vector map for various zoom levels ?
Things I have tried so far: - Just using native vector tile conversion as it involves feature simplification. Doesn't work since smallest feature just disappear, resulting in blank regions instead of "averaged" regions. - Using tippecanoe's built in features to drop/merge in densest zones. Results are disappointing because of unexpected (and too big) differences between each zoom level. - Rasterizing the map, sieving, then vectorizing with smoothing. Doesn't work because pixel information are mixed. I would need a way to rasterize while preserving the land-cover category (with some kind of majority filter ?), but haven't find a way to do this with any QGis built-in or plugin feature.
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OpenStreepMap 2012 vs. 2022
Take a look at Tippecanoe, which is under active development again[0]. The original developer, Erica Fischer (who is wonderful to work with), has a fork[1] where new work is happening.
[0] https://felt.com/blog/erica-fischer-tippecanoe-at-felt
[1] https://github.com/felt/tippecanoe
https://felt.com/blog/erica-fischer-tippecanoe-at-felt
gdal
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Building a Dynamic Tile Server Using Cloud Optimized GeoTIFF(COG) with TiTiler
TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.
- Protomaps – A free and open source map of the world
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Company decided to move away from AutoCAD to something cheaper...
GDAL is the real heart, the python aspect is mostly wrappers around that I'm fairly sure. I love python for the record, the only reason I bring it up, is cause python haters accuse it of being slow, but QGIS drops down to C++ when speed is necessary, like most modern packages do.
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gdal 0.15 is out!
gdal 0.15 (repo, docs), a set of Rust bindings for the GDAL library, used for access to geo-spatial data formats, is now out!
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What's missing from C# in Godot 4?
GDAL (Geospatial Data Abstraction Library) is a the geospatial data processing library. It handles a lot of Raster/Vector analysis and alteration. gdal_contour and gdal_rasterize which would be used to create isolines (contour lines) . There's more complex processing and analyses than that. More common is reprojecting multiple layers, and some that being as Vector files, into different coordiatne systems.
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12 Open Source GIS Software
Access: GDAL
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Not sure if I'm ready to make the jump from Unity yet.
As an example we use GDAL heavily through its C# binds. We do all the additional data processing, that isn't done by the C++ GDAL, in C#. The final results are both Data (held in memory or temp exported to a file), and a normalized Raster Texture that we can display on a TextureRect. Most of the C# data processing scripts aren't even Inheriting from any Godot Class.
- gdal v3.6.3 released
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What data structure should I use for reading data from a .shp file?
I think this would be the best way to handle this. GDAL is what you should look into for this project.
- GDAL v3.6.2 released
What are some alternatives?
planetiler - Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
geos - Geometry Engine, Open Source
tippecanoe - Build vector tilesets from large collections of GeoJSON features.
tilemaker - Make OpenStreetMap vector tiles without the stack
x3-rust - X3 Lossless Audio Compression for Rust
go-pmtiles - Single-file executable tool for working with PMTiles archives
maputnik - An open source visual editor for the 'MapLibre Style Specification'
Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
osmium-tool - Command line tool for working with OpenStreetMap data based on the Osmium library.
openmaptiles - OpenMapTiles Vector Tile Schema Implementation