Monte Carlo Simulation of Seasonal Spatial Dynamics

This repository contains a Monte Carlo–based spatial simulation developed as part of academic coursework. The project investigates how seasonal relocation of food sources and cyclical habitat variation affect a simulated ecological environment over time.

Overview

• Models weekly seasonal dynamics across a one-year cycle (53 iterations)
• Examines time-dependent, circular relocation of food sources around a central lake
• Incorporates seasonal expansion and contraction of the lake as a changing habitat constraint
• Provides visual monitoring of spatial and seasonal dynamics

Contribution Scope

The work presented here focuses specifically on:

• Seasonal food location dynamics (spatial movement, not quantity)
• Time-dependent spatial structure of food sources
• Seasonal habitat variation through lake size changes
• Visualization and monitoring of spatial dynamics

Methods & Tools

The simulation and all analyses were developed and executed in R, with visualization and reporting handled through reproducible R Markdown workflows.

• Monte Carlo simulation
• R
• knitr, lattice, plotrix, vcd

Repository Contents

• MonteCarlo_simulation.Rmd — reproducible simulation and analysis
• MonteCarlo_simulation.pdf — rendered report with results and visualizations