A simple API for lossfully converting raster datasets to GeoJSON.
Project description
# Unrasterize [](https://badge.fury.io/py/unrasterize) [](https://travis-ci.org/tetraptych/unrasterize) [](http://unrasterize.readthedocs.io/en/latest/?badge=latest) [](https://opensource.org/licenses/MIT)
Unrasterize is a Python library for converting raster datasets into GeoJSON objects by selecting representative points based on their pixel values. The conversion process results in less granular data with dramatically reduced file sizes for use in other applications that accept GeoJSON inputs.
The inspiration and original use case for this library is the 100m resolution population data provided by [WorldPop](http://www.worldpop.org.uk/). This is also the source of the files in the data directory used by the unit tests.
## Installation
unrasterize is available on [PyPI](https://pypi.python.org/pypi/unrasterize) and can be installed via the command pip install unrasterize.
rasterio, a depedency of unrasterize, may require the installation of additional GIS-specific tools outside of pip. Refer to the [Dockerfile](Dockerfile) for a list of these tools and how to install them.
## Sample output
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file unrasterize-1.0.0-py2.py3-none-any.whl.
File metadata
- Download URL: unrasterize-1.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 9.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 82ca333cd2d55ea8522c305147044d36afc1a43fa5aae41b01f1adee6506d3fb |
|
| MD5 | 130ce8c44554e7ea8054b611ccf7d1de |
|
| BLAKE2b-256 | 2f6798d01d0768fb5de3fb9893b85e80bd3f0316d0d80b437288f2dc801efe02 |
](https://badge.fury.io/py/unrasterize){kind=link}
](https://travis-ci.org/tetraptych/unrasterize){kind=link}
](https://opensource.org/licenses/MIT){kind=link}
