Markov Chain Geostatistics is a way of modeling how something might spread through a geographic area, like how quickly a virus might spread from one town to another. In this method, we look at a map of the area and draw lines between neighboring towns. Then, for each town, we make a special table called a transition matrix. In this table, each row and each column matches one of the towns on the map. The numbers in the table show the probability that something will move from one town to another. Then, we can use the transition matrix to create a model of how something might spread between towns. This model can be used to predict how things move around a geographic area.