PyLandStats documentation!#
Open-source library to compute landscape metrics in the Python ecosystem (NumPy, pandas, matplotlib…).
Citation: Bosch M. 2019. “PyLandStats: An open-source Pythonic library to compute landscape metrics”. PLOS ONE, 14(12), 1-19. doi.org/10.1371/journal.pone.0225734
Reference Guide:
Development:
This documentation is intended as an API reference. See the pylandstats-notebooks repository (tutorial/thorough overview of PyLandStats).
Features#
Compute pandas DataFrames of landscape metrics at the patch, class and landscape level
Analyze the spatiotemporal evolution of landscapes
Analyze landscape changes accross environmental gradients (zonal analysis)
Using PyLandStats#
The easiest way to install PyLandStats is with conda:
$ conda install -c conda-forge pylandstats
which will install PyLandStats and all of its dependencies. Alternatively, you can install PyLandStats using pip:
$ pip install pylandstats
Nevertheless, note that the BufferAnalysis and SpatioTemporalBufferAnalysis classes make use of geopandas, which cannot be installed with pip. If you already have the dependencies for geopandas installed in your system, you might then install PyLandStats with the geo extras as in:
$ pip install pylandstats[geo]
and you will be able to use the BufferAnalysis and SpatioTemporalBufferAnalysis classes (without having to use conda).