Skip to main content

A Rasterio plugin command that exports PMTiles

Project description

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

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.

$ 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rio_pmtiles-1.2.0.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rio_pmtiles-1.2.0-py3-none-any.whl (11.7 kB view details)

Uploaded Python 3

File details

Details for the file rio_pmtiles-1.2.0.tar.gz.

File metadata

  • Download URL: rio_pmtiles-1.2.0.tar.gz
  • Upload date:
  • Size: 13.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.11

File hashes

Hashes for rio_pmtiles-1.2.0.tar.gz
Algorithm Hash digest
SHA256 b1ca2264afab0b37d62631976b25ef1cc611d62502ef1b8e3d2b584007763f83
MD5 5a00158c7bca0f2146c15b57ba6d31ea
BLAKE2b-256 225f092caf840f6d5c8e5df8d66e55a4df40034765da8ea7f92bfa2ecc179144

See more details on using hashes here.

File details

Details for the file rio_pmtiles-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: rio_pmtiles-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 11.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.11

File hashes

Hashes for rio_pmtiles-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 85a798dbb9b4d38e057451417e5be2ad18d0b4a78df5735292380f259695e7a7
MD5 ee702d32989cc47d2fad597944742d2a
BLAKE2b-256 1dd936414790fb26b9d037d349412debd50ce9e6ff7dd9b398d106070c01a70a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page