Unlock the secrets hidden within spatial data with “Random Patterns and Structures in Spatial Data.” This essential guide from The Bookish Owl introduces a powerful mathematical framework using Gibbs Markov processes to detect and characterize complex patterns. Dive into three comprehensive parts: modeling, simulation, and inference, each featuring robust theoretical development alongside practical applications and examples. Explore real-world use cases in cosmology, environmental science, geology, and social networks. With accessible explanations, theoretical and practical algorithm details, and even C++ and R code for hands-on experimentation, this book is perfect for researchers and advanced students seeking to formulate mathematical answers to the persistent question: what pattern lies within the data?