rio-pmtiles =========== A plugin for the `Rasterio CLI `__ that exports a raster dataset to the PMTiles (version 3) format. Features include automatic reprojection and concurrent tile generation. This is derived from the original rio-mbtiles CLI by Sean Gillies at Mapbox. See CHANGELOG.md for differences. Usage ----- .. code-block:: console Usage: rio pmtiles [OPTIONS] INPUT [OUTPUT] Export a dataset to PMTiles (version 3). The input dataset may have any coordinate reference system. It must have at least three bands, which will be become the red, blue, and green bands of the output image tiles. An optional fourth alpha band may be copied to the output tiles by using the --rgba option in combination with the PNG or WEBP formats. This option requires that the input dataset has at least 4 bands. The default quality for JPEG and WEBP output (possible range: 10-100) is 75. This value can be changed with the use of the QUALITY creation option, e.g. `--co QUALITY=90`. The default zlib compression level for PNG output (possible range: 1-9) is 6. This value can be changed like `--co ZLEVEL=8`. Lossless WEBP can be chosen with `--co LOSSLESS=TRUE`. If no zoom levels are specified, the defaults are the zoom levels nearest to the one at which one tile may contain the entire source dataset. If a title or description for the output file are not provided, they will be taken from the input dataset's filename. This command is suited for small to medium (~1 GB) sized sources. Python package: rio-pmtiles (https://github.com/protomaps/PMTiles). Options: -o, --output PATH Path to output file (optional alternative to a positional arg). --name TEXT PMTiles metadata name. --description TEXT PMTiles metadata description. --attribution TEXT PMTiles metadata attribution. --overlay Export as an overlay (the default). --baselayer Export as a base layer. -f, --format [JPEG|PNG|WEBP] Tile image format. [default: WEBP] --tile-size INTEGER Width and height of individual square tiles to create. [default: 512] --zoom-levels MIN..MAX A min...max range of export zoom levels. The default zoom level is the one at which the dataset is contained within a single tile. -j INTEGER Number of workers (default: number of computer's processors). --src-nodata FLOAT Manually override source nodata --dst-nodata FLOAT Manually override destination nodata --resampling [nearest|bilinear|cubic|cubic_spline|lanczos|average|mode|gauss|max|min|med|q1|q3|rms] Resampling method to use. [default: bilinear] --version Show the version and exit. --rgba Select RGBA output. For PNG or WEBP only. -#, --progress-bar Display progress bar. --cutline PATH Path to a GeoJSON FeatureCollection to be used as a cutline. Only source pixels within the cutline features will be exported. --oo NAME=VALUE Format driver-specific options to be used when accessing the input dataset. See the GDAL format driver documentation for more information. --co, --profile NAME=VALUE Driver specific creation options. See the documentation for the selected output driver for more information. --wo NAME=VALUE See the GDAL warp options documentation for more information. --exclude-empty-tiles / --include-empty-tiles Whether to exclude or include empty tiles from the output. --help Show this message and exit. Performance ----------- The rio-pmtiles command is suited for small to medium (~1 GB) raster sources. On a MacBook Pro M1, the 1:10M scale Natural Earth raster (a 21,600 x 10,800 pixel, 700 MB TIFF) exports to PMTiles (levels 1 through 5) in 15 seconds. .. code-block:: console $ time GDAL_CACHEMAX=256 rio pmtiles NE1_HR_LC.tif \ > -o ne.pmtiles --zoom-levels 1..5 -j 4 14.87s user 10.40s system 258% cpu 9.787 total Installation ------------ ``pip install rio-pmtiles``