STRATEGICC

DOI

State and Transition Integrated Economic-Environmental Accounting

A Python package implementing spatially explicit State-and-Transition Simulation Models (Daniel et al. 2016) integrated with the UN's System of Environmental-Economic Accounting — Ecosystem Accounting (SEEA-EA).

Install

Install using pip

pip install strategicc

or using github repo:

pip install git+https://github.com/Shlhnj/strategicc.git

Quick start

import strategicc.config as cfg
from strategicc import StrategiccEngine, outputs
from strategicc.accounting import SEEAAccount, save_all_accounts

There are 2 methods of runnign strategicc; either with a manifest file or using a direct python command. See the docs for more info.

# Load everything from a single manifest file
cfg.load_manifest("RunManifest.txt")

engine = StrategiccEngine.from_config()
engine.load()
engine.run()

# Aggregate and account
summary_dir = engine.out_dir / "summary"
area_df, trans_df = outputs.build_summary_tables(engine.iter_dirs, summary_dir)
modal_maps = outputs.aggregate_spatial(engine.iter_dirs, engine.start_year,
    engine.n_timesteps, engine.src_tags, summary_dir)
area_modal_df = outputs.modal_to_area_table(modal_maps, engine.classes,
    engine.px_area, engine.area_unit)

acct = SEEAAccount(area_modal_df, trans_df, engine.ecosystem_services,
    engine.classes, engine.px_area, px_area_ha=engine.px_area_ha)
save_all_accounts(acct, engine.out_dir / "seea")

Documentation

Full documentation lives in docs/:

Muhammad Shulhan Jihadi. 2026. 07. 01.

Project links

Data verified by PyPI on Aug 30, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (3.22)

1 maintainer

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Avatar for Shulhan from gravatar.com Shulhan

Credits

Author: Shlhnj

GitHub Statistics

Data verified by PyPI on Aug 30, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT License)

Requires

Python >=3.10

Provides Extra

dev calibration

Tags

STSM land cover ecosystem accounting SEEA-EA landscape ecology ecological modelling ecological forecasting

Classifiers

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