= Markov chain geostatistics
{wiki=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.
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