Abstract
This paper presents a modular, Python-based computational suite for planning and visualizing controlled radio-frequency (RF) interference and jamming scenarios. Current simulation tools often separate indoor and outdoor analyses or rely on proprietary platforms, limiting accessibility and multi-technology evaluation. The suite integrates empirical propagation models, including COST-231 Hata and log-distance models with obstacle attenuation, to represent Wi-Fi, Bluetooth, Very-High Frequency (VHF), and Ultra-High Frequency (UHF) scenarios. Digital image processing and the Bresenham line algorithm characterize architectural floor plans for a pixel-based wall-loss approximation. For large grids, Just-in-Time (JIT) compilation is used to reduce the execution time of selected numerical kernels, while Folium and Contextily support geospatial visualization. The resulting suite provides separate indoor image-based and outdoor geospatial workflows for exploratory RF interference and jamming analysis.