Summarize geospatial raster datasets based on vector geometries
Project description
rasterstats
===========
|BuildStatus|_
|CoverageStatus|_
``rasterstats`` is a Python module for summarizing geospatial raster datasets based on vector geometries.
It includes functions for **zonal statistics** and interpolated **point queries**. The command-line interface allows for
easy interoperability with other GeoJSON tools.
Documentation
-------------
For details on installation and usage, visit the documentation at `http://pythonhosted.org/rasterstats <http://pythonhosted.org/rasterstats/>`_.
What does it do?
----------------
Given a vector layer and a raster band, calculate the summary statistics of each vector geometry.
For example, with a polygon vector layer and a digital elevation model (DEM) raster, compute the
mean elevation of each polygon.
.. figure:: https://github.com/perrygeo/python-raster-stats/raw/master/docs/img/zones_elevation.png
:align: center
:alt: zones elevation
Command Line Quick Start
------------------------
The command line interfaces to zonalstats and point_query
are `rio` subcommands which read and write geojson features
.. code-block:: bash
$ fio cat polygon.shp | rio zonalstats -r elevation.tif
$ fio cat points.shp | rio pointquery -r elevation.tif
See the `CLI Docs <http://pythonhosted.org/rasterstats/cli.html>`_. for more detail.
Python Quick Start
-----------
For zonal statistics
.. code-block:: python
>>> from rasterstats import zonal_stats
>>> stats = zonal_stats("tests/data/polygons.shp", "tests/data/elevation.tif")
>>> stats[1].keys()
['count', 'min', 'max', 'mean']
>>> [f['mean'] for f in stats]
[756.6057470703125, 114.660084635416666]
and for point queries
.. code-block:: python
>>> from rasterstats import point_query
>>> point = "POINT(245309 1000064)"
>>> point_query(point, "tests/data/elevation.tif")
[723.9872347624]
Issues
------
Find a bug? Report it via github issues by providing
- a link to download the smallest possible raster and vector dataset necessary to reproduce the error
- python code or command to reproduce the error
- information on your environment: versions of python, gdal and numpy and system memory
.. |BuildStatus| image:: https://api.travis-ci.org/perrygeo/python-rasterstats.svg
.. _BuildStatus: https://travis-ci.org/perrygeo/python-rasterstats
.. |CoverageStatus| image:: https://coveralls.io/repos/github/perrygeo/python-rasterstats/badge.svg?branch=master
.. _CoverageStatus: https://coveralls.io/github/perrygeo/python-rasterstats?branch=master
===========
|BuildStatus|_
|CoverageStatus|_
``rasterstats`` is a Python module for summarizing geospatial raster datasets based on vector geometries.
It includes functions for **zonal statistics** and interpolated **point queries**. The command-line interface allows for
easy interoperability with other GeoJSON tools.
Documentation
-------------
For details on installation and usage, visit the documentation at `http://pythonhosted.org/rasterstats <http://pythonhosted.org/rasterstats/>`_.
What does it do?
----------------
Given a vector layer and a raster band, calculate the summary statistics of each vector geometry.
For example, with a polygon vector layer and a digital elevation model (DEM) raster, compute the
mean elevation of each polygon.
.. figure:: https://github.com/perrygeo/python-raster-stats/raw/master/docs/img/zones_elevation.png
:align: center
:alt: zones elevation
Command Line Quick Start
------------------------
The command line interfaces to zonalstats and point_query
are `rio` subcommands which read and write geojson features
.. code-block:: bash
$ fio cat polygon.shp | rio zonalstats -r elevation.tif
$ fio cat points.shp | rio pointquery -r elevation.tif
See the `CLI Docs <http://pythonhosted.org/rasterstats/cli.html>`_. for more detail.
Python Quick Start
-----------
For zonal statistics
.. code-block:: python
>>> from rasterstats import zonal_stats
>>> stats = zonal_stats("tests/data/polygons.shp", "tests/data/elevation.tif")
>>> stats[1].keys()
['count', 'min', 'max', 'mean']
>>> [f['mean'] for f in stats]
[756.6057470703125, 114.660084635416666]
and for point queries
.. code-block:: python
>>> from rasterstats import point_query
>>> point = "POINT(245309 1000064)"
>>> point_query(point, "tests/data/elevation.tif")
[723.9872347624]
Issues
------
Find a bug? Report it via github issues by providing
- a link to download the smallest possible raster and vector dataset necessary to reproduce the error
- python code or command to reproduce the error
- information on your environment: versions of python, gdal and numpy and system memory
.. |BuildStatus| image:: https://api.travis-ci.org/perrygeo/python-rasterstats.svg
.. _BuildStatus: https://travis-ci.org/perrygeo/python-rasterstats
.. |CoverageStatus| image:: https://coveralls.io/repos/github/perrygeo/python-rasterstats/badge.svg?branch=master
.. _CoverageStatus: https://coveralls.io/github/perrygeo/python-rasterstats?branch=master
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