Simulation and Analysis Code for "Adversarial Obstacle Placement under Spatial Point Processes for Optimal Path Disruption"

Certainly. Here's a suggested "Description" field for your Zenodo submission, tailored for the International Journal of Geo-Information (IJGI) context: This archive contains simulation and analysis code used in the study "[Manuscript Title]" submitted to International Journal of Geo-Information (IJGI). The research investigates pathfinding through stochastic obstacle environments using fully synthetic data generated via spatial point processes and parameterized simulation models. The simulation/ folder includes R scripts to generate the traversal cost data under various configurations, while the analysis/ folder provides code for statistical modeling (robust regression, random forest, and zero-inflated negative binomial regression) and visualization of the results. The results/ folder contains sample simulation outputs and figures used in the manuscript. All data used in the paper can be exactly reproduced using the provided code. For inquiries or reproducibility questions, please contact the corresponding author.