xapple / libcbm_runner

`libcbm_runner` is a python package for automating simulations of forest growth and harvesting involving the European economy, carbon budgets and their interactions.

libcbm_runner version 0.2.2

libcbm_runner is a python package for dealing with the automation and running of a complex series of models involving forest growth, the European economy, carbon budgets and their interactions. It uses the libcbm model developed by Canada under the hood.

This python module uses pandas data frames to manipulate and store most data.

Dependencies

• libcbm is a C++ library with python binding developed by the Canadian Forest Service. It is bundled into the libcbm_py python package available at https://github.com/cat-cfs/libcbm_py

• libcbm_data contains the model's input and output data located at https://gitlab.com/bioeconomy/libcbm/libcbm_data

• libcbm_aidb contains the "Archive Index Databases" in a separate repository located at https://github.com/xapple/libcbm_aidb

Installation

Installation instructions are available for two different platforms:

• Installation on Linux
• Installation on Windows

Definitions

• Input files (disturbances, yield, inventory) defined in libcbm_data contain scenarios for the activities (afforestation, deforestation, reforestation, disturbances in forest remaining forest, wood use specified in the silviculture and product_types.csv tables)

Extra documentation

More documentation is available at:

http://xapple.github.io/libcbm_runner/libcbm_runner

This documentation is simply generated with:

$ pdoc --html --output-dir docs --force libcbm_runner