rio-tiler-mvt

A rio-tiler plugin to translate tile array to MVT (using python-vtzero).

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Install

Requirements

rio-tiler-mvt use python-vtzero wrapper to encode point and polygons to MVT. Because VTZERO is a C++ library, python-vtzero is written in Cython, thus cython~=0.28 is required to compile this library.

$ pip install cython~=0.28 # see https://github.com/tilery/python-vtzero#requirements

$ pip install rio-tiler-mvt

Or

$ git clone http://github.com/cogeotiff/rio-tiler-mvt
$ cd rio-tiler-mvt
$ pip install -e .

Rio-tiler + Mapbox Vector tiles

API

pixel_encoder

pixels_encoder(
    data: numpy.ndarray,
    mask: numpy.ndarray,
    band_names: list = [],
    layer_name: str = "my_layer",
    feature_type: str = "point"
)

Inputs:

• data: raster tile data to encode
• mask: mask data
• band_names: Raster band's names
• layer_name: Layer name
• feature_type: Feature type (point or polygon)

Returns:

• mvt : Mapbox Vector Tile encoded data.

Examples:

from rio_tiler.io import COGReader
from rio_tiler_mvt import pixels_encoder

with COGReader("fixtures/test.tif") as cog
    img = cog.tile(72, 63, 7, resampling_method="nearest")
    mvt = pixels_encoder(img.data, img.mask, layer_name="test", feature_type="point")

shapes_encoder

shapes_encoder(
    data: numpy.ndarray,  # 1D array (height, width)
    mask: numpy.ndarray,
    layer_name: str = "my_layer",
    colormap: dict = {},
    class_names: dict = {}
)

Inputs:

• data: raster tile data to encode
• mask: mask data
• layer_name: Layer name
• colormap: GDAL colormap. If provided a color value will be added to the feature properties
• class_names: Dictionary mapping pixel value with class names. If provided a name value will be added to the feature properties.

Returns:

• mvt : Mapbox Vector Tile encoded data.

Contribution & Development

Issues and pull requests are more than welcome.

dev install

$ git clone https://github.com/cogeotiff/rio-tiler-mvt.git
$ cd rio-tiler-mvt
$ pip install -e .[dev]

Python3.7 only

This repo is set to use pre-commit to run isort, flake8, pydocstring, black ("uncompromising Python code formatter") and mypy when committing new code.

$ pre-commit install

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