LandInsightLab/MUSE

MUSE is an urban expansion-oriented open-access land change simulation software built upon cellular automata modeling scheme. It used multiple patch generation engines to emulate the process of urban development, thus scaling up the representation of urban development events from cell to patch level, in line with real-world mechanisms.

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Experimental

This software simulates how cities grow and expand over time, helping you understand future urban development patterns. It takes in spatial data and historical urban growth information, then produces detailed maps of potential urban expansion. Urban planners, land resource managers, and researchers can use this to make informed decisions about land use.

No commits in the last 6 months.

Use this if you need to visualize and predict future urban growth scenarios based on various parameters and historical data.

Not ideal if you are looking for a tool to manage current land resources or perform real-time urban monitoring.

urban-planning land-use-forecasting city-development spatial-analysis geographical-modeling
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

14

Forks

1

Language

Python

License

MIT

Last pushed

Aug 11, 2025

Commits (30d)

0

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