PyLandStats documentation!

Open-source Pythonic library to compute landscape metrics within the PyData stack (NumPy, pandas, matplotlib…)

Reference Guide:

• Landscape analysis
• Spatiotemporal analysis
• Gradient analysis
• Spatiotemporal buffer analysis

Development:

• Change log
• Contributing

This documentation is intended as an API reference. See also:

• pylandstats-notebooks repository (tutorial/thorough overview of PyLandStats)
• swiss-urbanization repository (example application of PyLandStats to evaluate the spatiotemporal patterns of urbanization in three Swiss urban agglomerations)

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

Using PyLandStats

To install use pip:

$ pip install pylandstats

If you want to use the BufferAnalysis class, you will need geopandas. The easiest way to install it is via conda-forge as in:

$ conda install -c conda-forge geopandas

and then install PyLandStats with the geo extras as in:

$ pip install pylandstats[geo]

Indices and tables

• Index
• Module Index