ecological-modeling

Research project

🐢 Interface for Running NetLogo Simulations from R

This code is part of a bigger project about the semantic segmentation of coral reefs for ecological monitoring.

A Python class for AutoML spatial classification (designed for Species Distribution Modeling applications).

Simulate realistic forest stand patterns using simulated annealing optimization to match empirical targets for spatial patterns, canopy structure, species composition, and fire behavior metrics.

🐇🦊 Illustration of Lotka–Volterra's Predator–Prey Model

Plant-Herbivore Interaction & Defense Simulator (PHIDS): A visual discrete event-based simulator modelling ecological dynamics between plants and herbivores on a spatial grid. It tracks energy, population growth, and cooperative plant defences, including airborne signals, symbiotic communication, and toxin production to repel/kill attackers.

Agent-based bee colony simulation featuring genetic modeling, foraging algorithms, disease tracking, and comprehensive CLI tools for pollinator population research.

Monte Carlo civilization simulator modeling systemic resilience, collapse dynamics, ecological overshoot, governance architectures, and Kardashev-scale energy progression across long-term planetary and stellar timescales.

Reproducible ENHM workflow for coral-linked baseline separation and IPO-scale COTS outbreak susceptibility analyses on the Great Barrier Reef.

Hybrid ecological modeling of two-species competition: Lotka–Volterra dynamics vs machine learning and physics-informed neural networks

From-scratch theory, stability analysis, and R simulations of population dynamics, from logistic growth to predator-prey models. Inspired by Prof. Guttal's EC201.

AI-driven spatial modeling, ensemble learning, and LLM-integrated decision systems for yard-scale pollinator plant recommendations

An auditable artificial-ecosystem simulation exploring conservative carbon, water, and nitrogen transport, drought response, survival, and reproduction.