FragStatsPy 0.0.2

Python Wrapper for Fragstats

FragStatsPy a wrapper to Fragstats that allows for automated model setup and execution. While Fragstats currently provides a command-line tool for model execution, it does not provide command-line tools for model setup. FragStatsPy begins to fill that gap by providing functions to generate and manipulate Fragstats models from within Python.

Current functionality includes

• Model database generation
• Loading landscape layers
• Setting the output base path
• Defining a sampling strategy
• Linking user-defined tiles
• A general purpose SQL editor to allow for complete model manipulation (for savvy users)
• Access to the Fragstats native run commands (command-line)

Example Code

The code below will setup and run a Fragstats model to calculate the mean and standard deviation of patch sizes per user-defined region.

import src.frag_model as fspy

model = fspy.FragModel('model_py.fca')
model.set_output_base_path('model_outputs')
model.load_landscape_layer("geomorphic_patches.tif")
model.set_user_provided_tiles("regions.tif")
model.set_sampling_strategy(strategy='user_tiles', landscape=True)
model.toggle_metric(level='l', metric='AREA', stat='MN', on=True)
model.toggle_metric(level='l', metric='AREA', stat='SD', on=True)
model.run_model()
results = model.get_results()