The Wa-Tor Predator-Prey Simulation is a spatially explicit ecological modeling framework that adapts Alexander Keene's 1984 toroidal grid-based population dynamics model within a GIS environment to analyze and visualize the cyclical interactions between predator and prey species across geographic space. By integrating geospatial data layers — including habitat suitability, terrain classification, and land cover attributes — GIS technology transforms the abstract cellular automaton into a realistic spatial analysis tool capable of simulating population fluctuations across actual landscapes. Each grid cell functions as a discrete spatial unit, enabling analysts to apply raster-based geoprocessing workflows, temporal mapping, and density surface modeling to track species movement, reproduction, and mortality events over defined time steps. This approach supports practical applications in wildlife management, conservation planning, and ecosystem monitoring, allowing geospatial analysts to identify critical habitat corridors, predict population collapse thresholds, and evaluate the spatial impact of environmental disturbances. The simulation's iterative computational structure aligns naturally with GIS scripting environments such as Python-based ArcPy or GDAL, making it an accessible and powerful tool for evidence-based ecological decision-making.