QGIS Plugin to run data mining algorithms on spatial datasets.

SpatialDM is QGIS Plugin designed to run classification algorithms on spatial data. It is compatible with both multi-band raster layers and comma separated values (CSV) files. Currently three classifiers have been implemented:

• Decision Tree Classifier
• AdaBoost Classifier
• Random Forest Classifier

Before installing the SpatialDM plugin ensure that you have QGIS, Python and Scikit-learn installed on your system (see the dependencies section).

To install the plugin just paste the SpatialDM directory in the following folders:

• UNIX/Mac: ~/.qgis/python/plugins and (qgis_prefix)/share/qgis/python/plugins
• Windows: ~/.qgis/python/plugins and (qgis_prefix)/python/plugins

Home directory (denoted by above ~) on Windows is usually something like C:\Documents and Settings(user) (on Windows XP or earlier) or C:\Users(user).

NOTE:- By setting the QGIS_PLUGINPATH to an existing directory, you can add this path to the list of paths that are searched for plugins.

• QGIS (version > 2.0)
• Python (>= 2.6 or >= 3.3) -> https://www.python.org/downloads
• NumPy (>= 1.6.1) -> http://www.numpy.org
• SciPy (>= 0.9) -> http://www.scipy.org
• Graphviz (optional to display DOT files) -> http://www.graphviz.org