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.png
.. _BuildStatus: https://travis-ci.org/perrygeo/python-rasterstats
.. |CoverageStatus| image:: https://coveralls.io/repos/perrygeo/python-rasterstats/badge.png
.. _CoverageStatus: https://coveralls.io/r/perrygeo/python-raster-stats
===========
|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.png
.. _BuildStatus: https://travis-ci.org/perrygeo/python-rasterstats
.. |CoverageStatus| image:: https://coveralls.io/repos/perrygeo/python-rasterstats/badge.png
.. _CoverageStatus: https://coveralls.io/r/perrygeo/python-raster-stats
Metadata
Release files for rasterstats 0.10.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distributions (sdists)
| File | Size | Uploaded | |
|---|---|---|---|
| rasterstats-0.10.3.zip | 20.7 kB | Details | |
| rasterstats-0.10.3.tar.gz | 14.7 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rasterstats-0.10.3-py3-none-any.whl | Python 3 | none | any | Details |
| rasterstats-0.10.3-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 70.2 kB
Release files / rasterstats-0.10.3.zip
| Download URL | rasterstats-0.10.3.zip |
|---|---|
| Size | 20.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
86081cd99ac5f3d86a928264205f23590a26640c1a8d9c763b45fbfdf4e6ec87
|
|
BLAKE2b-256 checksum How to use checksums |
c1e6837d7099cd7712d28e38137a9f38656b8427a09f80cab23ad5e4a2374c3b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / rasterstats-0.10.3.tar.gz
| Download URL | rasterstats-0.10.3.tar.gz |
|---|---|
| Size | 14.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7a4a79d71fbfb15812ee40081a8fd321039e9b26f389f7ec456c657c3298a818
|
|
BLAKE2b-256 checksum How to use checksums |
ddea0b6e2b0a66404a18542733ae84d65268331320587dae553a8209f027751f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / rasterstats-0.10.3-py3-none-any.whl
| Download URL | rasterstats-0.10.3-py3-none-any.whl |
|---|---|
| Size | 17.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fa91c6501e26917a6495a106e8adc1fd9c9c9176d144ad9866c1b034ac3cf1ab
|
|
BLAKE2b-256 checksum How to use checksums |
ddf3afaf8aa05953e5ff2cddd5400ca69f112e874a77e3a6a48d7a2db1b35c3b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / rasterstats-0.10.3-py2-none-any.whl
| Download URL | rasterstats-0.10.3-py2-none-any.whl |
|---|---|
| Size | 17.4 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
411f07d9cb4e6aedb6a6c4c96809f41d028ae3b772dfcbfec1cdefcf7e9209f9
|
|
BLAKE2b-256 checksum How to use checksums |
2a36c9fcc84e5084480aa415b2b62b92f2334283fa2c9097a5b5a1bf7b81bf01
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |