Abstract
Geospatial simulation is a powerful tool for many disciplines to understand, explain, and predict overly complex natural and human-made systems. With the advances in computing and software technology, simulation is becoming a commonly accessible solution. The spatial information community has a huge potential to contribute and get benefited from the geospatial simulation as it provides many research avenues including creating methods for the ingestion of spatial data, studying domain-specific problems, and using simulation-generated spatial data. Especially, simulation-generated data provides many advantages over publicly available data sets that are too small to allow reliable inference, too noisy to find the signal of patterns or deliberately altered to preserve privacy.
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