GitHub - Martin-Jung/LecoS: LecoS QGis Plugin - Contains several analytical functions for land cover analysis

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LecoS QGis Plugin - Contains several analytical functions for land cover analysis

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Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
icons		icons
metric_info		metric_info
sextante_info		sextante_info
ui		ui
.gitignore		.gitignore
LICENSE		LICENSE
README		README
__init__.py		__init__.py
__init__.pyc		__init__.pyc
landscape_modifier.py		landscape_modifier.py
landscape_modifier.pyc		landscape_modifier.pyc
landscape_polygonoverlay.py		landscape_polygonoverlay.py
landscape_polygonoverlay.pyc		landscape_polygonoverlay.pyc
landscape_statistics.py		landscape_statistics.py
landscape_statistics.pyc		landscape_statistics.pyc
lecos_dlg.py		lecos_dlg.py
lecos_dlg.pyc		lecos_dlg.pyc
lecos_functions.py		lecos_functions.py
lecos_functions.pyc		lecos_functions.pyc
lecos_main.py		lecos_main.py
lecos_main.pyc		lecos_main.pyc
lecos_sextantealgorithms.py		lecos_sextantealgorithms.py
lecos_sextantealgorithms.pyc		lecos_sextantealgorithms.pyc
lecos_sextanteprov.py		lecos_sextanteprov.py
lecos_sextanteprov.pyc		lecos_sextanteprov.pyc
metadata.txt		metadata.txt
nlmpy_sextantewrapper.py		nlmpy_sextantewrapper.py
nlmpy_sextantewrapper.pyc		nlmpy_sextantewrapper.pyc

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Description:
LecoS - Land cover statistics is plugin for the QGIS GIS software suite. It converts classified raster layers to arrays using the powerful numpy library. Based on a Connected Component Labeling approach it further identifies class patches and calculates landscape metrics. The use can choose to calculate single or several metrics for the raster classes.

Usecase:
See http://conservationecology.wordpress.com/lecos-land-cover-statistics/

Licence:
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

Reference:
Martin Jung, LecoS — A python plugin for automated landscape ecology analysis, Ecological Informatics, Volume 31, January 2016, Pages 18-21, ISSN 1574-9541, http://dx.doi.org/10.1016/j.ecoinf.2015.11.006.