 Markov chain geostatistics

Markov Chain Geostatistics refers to a set of statistical techniques used for modeling spatial data where the underlying processes follow a Markovian structure. In geostatistics, the aim is to analyze and predict spatially correlated data, such as mineral concentrations, environmental variables, or geological features. ### Key Concepts: 1. **Markov Property**: A Markov process has the property that the future state depends only on the current state, not on the sequence of events that preceded it.