Converts a GDAL-readable dataset into an MBTiles file. This is used to generate web maps.
Project description
gdal2mbtiles helps you generate web mapping tiles that can be shown through a browser-based mapping library on your website.
GDAL-readable files are images that are georeference, that means that they are positioned and projected on to the world. In order to display a dynamic map on the web, you don’t want to serve the whole image at once, so it must be sliced into tiles that are hosted by a tile server.
The MBTiles file format was developed by MapBox to make tile storage easier. You can upload the final file to their service, or run your own tile server. MapBox provides one called TileStream.
Installation
Using pip:
$ pip install gdal2mbtiles
PyPi package page https://pypi-hypernode.com/pypi/gdal2mbtiles/
From source:
$ git clone https://github.com/ecometrica/gdal2mbtiles.git $ cd gdal2mbtiles $ python setup.py install
Note that this program requires Python 2.7 or higher.
External Dependencies
We rely on GDAL to read georeferenced datasets. However, it is not available on PyPi.
Under Debian or Ubuntu, run the following to install it:
$ sudo apt-get install python-gdal
We also rely on VIPS to do fast image processing. It’s also not available on PyPi.
Under Debian or Ubuntu, run the following to install it:
$ sudo apt-get install python-vipscc
If you are using a virtualenv, you will need to symlink Python library in the right place. Under Debian or Ubuntu, assuming Python 2.7, run the following:
$ ln -s /usr/lib/python2.7/dist-packages/vipsCC $VIRTUAL_ENV/lib/python2.7/site-packages/
You’ll also need a few other libraries to deal with large TIFF files and to optimize the resulting PNG tiles.
Under Debian or Ubuntu, run the following to install them:
$ sudo apt-get install libtiff5 optipng pngquant
Command Line Interface
$ gdal2mbtiles --help
usage: gdal2mbtiles [-h] [-v] [--name NAME] [--description DESCRIPTION]
[--layer-type {baselayer,overlay}] [--version VERSION]
[--format {jpg,png}]
[--spatial-reference SPATIAL_REFERENCE]
[--resampling {near,bilinear,cubic,cubicspline,lanczos}]
[--min-resolution MIN_RESOLUTION]
[--max-resolution MAX_RESOLUTION] [--fill-borders]
[--no-fill-borders] [--zoom-offset N]
[--coloring {gradient,palette,exact}]
[--color BAND-VALUE:HTML-COLOR]
[--colorize-band COLORIZE-BAND]
[INPUT] [OUTPUT]
Converts a GDAL-readable into an MBTiles file
optional arguments:
-h, --help show this help message and exit
-v, --verbose explain what is being done
Positional arguments:
INPUT GDAL-readable file.
OUTPUT Output filename. Defaults to INPUT.mbtiles
MBTiles metadata arguments:
--name NAME Human-readable name of the tileset. Defaults to INPUT
--description DESCRIPTION
Description of the layer. Defaults to ""
--layer-type {baselayer,overlay}
Type of layer. Defaults to "overlay"
--version VERSION Version of the tileset. Defaults to "1.0.0"
--format {jpg,png} Tile image format. Defaults to "png"
GDAL warp arguments:
--spatial-reference SPATIAL_REFERENCE
Destination EPSG spatial reference. Defaults to 3857
--resampling {near,bilinear,cubic,cubicspline,lanczos}
Resampling algorithm for warping. Defaults to "near"
(nearest-neighbour)
Rendering arguments:
--min-resolution MIN_RESOLUTION
Minimum resolution to render and slice. Defaults to
None (do not downsample)
--max-resolution MAX_RESOLUTION
Maximum resolution to render and slice. Defaults to
None (do not upsample)
--fill-borders Fill image to whole world with empty tiles. Default.
--no-fill-borders Do not add borders to fill image.
--zoom-offset N Offset zoom level by N to fit unprojected images to
square maps. Defaults to 0.
Coloring arguments:
--coloring {gradient,palette,exact}
Coloring algorithm.
--color BAND-VALUE:HTML-COLOR
Examples: --color="0:#ff00ff" --color=255:red
--colorize-band COLORIZE-BAND
Raster band to colorize. Defaults to 1
Reporting bugs and submitting patches
Please check our issue tracker for known bugs and feature requests.
We accept pull requests for fixes and new features.
Credits
Maxime Dupuis and Simon Law wrote this program, with the generous support of Ecometrica.
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