Definition
Multiple-point geostatistics is the field of study that focuses on the digital representation of the physical reality by reproducing high-order statistics inferred from training data, usually training images, that represent the spatial (and temporal) patterns expected in such context. Model-based and data-driven algorithms aim to reproduce such patterns in space-time by capturing and reproducing real world features through trends, hierarchies, and local spatial variation.
Multiple-point Geostatistics: A Historical Perspective
Geostatistics aims at modeling spatio-temporal phenomena, which encompasses a large class of types of data and modeling problems. From a niche statistical science in the 1970s, it has now evolved into a widely applicable and much used set of practical tools. The increased acquisition of massive spatio-temporal data and the vast increase in computational power is at the root of a renewed attraction to geostatistics. Fundamental societal problems, such as...
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Caers, J., Mariethoz, G., Ortiz, J.M. (2023). Multiple Point Statistics. In: Daya Sagar, B.S., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-85040-1_24
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