ABSTRACT
Monte Carlo simulation is a numerical analysis technique that uses repeated random sampling to obtain the distribution of an unknown probabilistic entity. It provides a powerful computational framework for spatial analysis, and has become increasingly popular with rising computing power. Some applications include data disaggregation, designing a statistical significance test, and detecting spatial patterns.
