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Computational geophysics is the field of study that uses any type of numerical computations to generate and analyze models of complex geophysical systems. It can be considered an extension, or sub-field, of both computational physics and geophysics.
Applications of machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification.Machine learning is a subdiscipline of artificial intelligence aimed at developing programs that are able to classify, cluster, identify, and analyze vast and complex data sets without the need for explicit programming to do so. [1]
Computers & Geosciences is a scientific journal published monthly by Elsevier on behalf of the International Association for Mathematical Geosciences. [1] It contains research and review papers in computing applied to geosciences. Its impact factor is 3.372. [1]
Environmental geology – Science of the practical application of geology in environmental problems. Geochemistry – Science that applies chemistry to analyze geological systems; Geologic modelling – Applied science of creating computerized representations of portions of the Earth's crust; Geomorphology – Scientific study of landforms
There is a debate about the status of computation within the scientific method. [4] Sometimes it is regarded as more akin to theoretical physics; some others regard computer simulation as "computer experiments", [4] yet still others consider it an intermediate or different branch between theoretical and experimental physics, a third way that supplements theory and experiment.
Geomathematics (also: mathematical geosciences, mathematical geology, mathematical geophysics) is the application of mathematical methods to solve problems in geosciences, including geology and geophysics, and particularly geodynamics and seismology.