Spatial Analysis F* Engine
Project description
safe - spatial analysis functional engine
Python based toolkit to implement spatial analysis that involve raster and vector data.
It was built because we did not want to worry about the differences between osgeo.gdal and osgeo.ogr, or WCS and WFS.
This is the result of mixing mathematicians and engineers and tasking them to create simulations to prepare for natural hazards with very short deadlines.
Features
Unified API to work with Raster and Vector objects.
Uses GDAL/OGR and Numpy in the backend.
Simple plugin module for creating your own functions and registering them in the engine.
Built-in interpolation operations for most common needs (Raster - Raster, Raster - Point, Raster - Polygon )
Autodiscovery of compatible functions based on layer metadata.
Support for output styles (SLD - OGC Styled Layer Descriptors).
Able to use layers from remote OGC compatible web services (WFS / WCS) (not implemented)
Designed to be easy to implement within QGIS and GeoNode.
Installation
Install dependencies
You will need NumPy, Nose and GDAL.
In Ubuntu, you can do it like this:
sudo apt-get install python-numpy python-gdal python-nose
Install this package:
pip install python-safe
If you do not have pip installed but only easy_install, you can do easy_install pip and then use it to install python-safe.
To verify everything is working as it should do, open a python shell and do:
import safe safe.test()
You can pass additional parameters to the test function, for example: verbose=2 to view the test names.
For Developers
The source code and issue tracker can be found at http://github.com/AIFDR/python-safe
To install a development version instead of the last release you can do:
pip install -e git+git://github.com/AIFDR/python-safe.git#egg=python-safeOr use the old fashioned:
git clone git://github.com/AIFDR/python-safe.git cd python-safe python setup.py install
Thanks
This package was originally created with funding from AusAID, Indonesia’s BNPB, The World Bank and GFDRR.
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