Simulate realistic forest stand patterns using simulated annealing optimization to match empirical targets for spatial patterns, canopy structure, species composition, and fire behavior metrics.
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Updated
Apr 27, 2026 - R
Simulate realistic forest stand patterns using simulated annealing optimization to match empirical targets for spatial patterns, canopy structure, species composition, and fire behavior metrics.
Python implementation of the Forest Vegetation Simulator (Southern variant) for growth & yield of southern pines
🌲 Intelligent Forest Advisory & Multi-Structure Decision System (IFAMDS) — A C++ simulation integrating arrays, linked lists, queues, trees, graphs, and hash tables for real-time forest monitoring, fire detection, and decision-making.
A curated list of open source projects, libraries, and tools for digital trees
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