aChor
![aChor](https://github.com/Ariel505/aChor/blob/master/icon.png?raw=true)
Task oriented data classification for choropleth maps (German Research Foundation funded)
This plugin
aChor was designed only for polygon shapefile dataset
You may download a test dataset here:
http://tiny.cc/xspc0y
The method of the algorithm:
https://tinyurl.com/y99tk8gx
Your default aChor plugin directory is located at:
Windows QGIS3: C:/OSGeo4W/apps/qgis/python/plugins/aChor
Linux QGIS3: /home/user_name/.local/share/QGIS/QGIS3/profiles/default/python/plugins/aChor
Before you deploy the plugin:
- This plugin using fiona, shapely, gdal, pysal and Rtree libraries.
- Rtree must be version 0.8.3 or above.
- Pysal must be version 1.14.4 or below. (python -m pip install pysal==1.14.3 --user)
- To install python packages, please using pip or easy_install in OSGEO4W shell.
- Using requirements.txt install file: sudo -H python -m pip install -r requirements.txt
- Step by step installation:
- Linux:
sudo wget http://ftp.de.debian.org/debian/pool/main/p/python-rtree/python-rtree_0.8.3+ds-1_all.deb
sudo apt install /filedir/python-rtree_0.8.3+ds-1_all.deb
- Windows: python -m pip install Rtree-0.8.3-cp36-cp36m-win_amd64.whl
For windows python packages, you may download them here:http://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
- Check if libraries successfully installed, open the OSGEO4W shell and try to import them.
C:\> py3_env
C:\> python
>>> import rtree
>>> import fiona
>>> import shapely
>>> import pysal
>>> import sklearn
>>> import dbf
Notes:
Official QGIS Plugin Repository - for QGIS2 and QGIS3
https://plugins.qgis.org/plugins/aChor/
License Information, 2018-2021: Lab for Geoinformatics and Geovisualization (g2lab), Hafencity University Hamburg, Germany