raghu330 / aChor

Task oriented data classification for choropleth maps

aChor

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:

1. 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
2. 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:

• GitHub for bug report and tracking: https://github.com/Ariel505/aChor/issues/
  
• You can also run the classification from OSGeo4W command shell.
  
  Usage: 
  python  class_achor.py  [class_num]  [sweep_interval]  [field_name]  [shapefile]  [method]
  

  [Method]:
  1:  Localextremes (max and min)
  2:  Localmax
  3:  Localmin
  4:  Hotspot and coldspot
  5:  Neighbors
  6:  Clusters
  7:  Global extremes
  8:  Nested pattern

  for example:
  python  class_achor.py  10  0.2  SUMME  Hamburg.shp  -m  1

Official QGIS Plugin Repository - for QGIS2 and QGIS3 https://plugins.qgis.org/plugins/aChor/

For more information on aChor project, please visit aChor project website for further information.

License Information, 2018-2021: Lab for Geoinformatics and Geovisualization (g2lab), Hafencity University Hamburg, Germany