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Encyclopedia of Mathematical Geosciences
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SpringerLink (Online service)
Encyclopedia of Mathematical Geosciences
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Encyclopedia of Mathematical Geosciences/ edited by B.S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg.
other author:
Daya Sagar, B.S.
Description:
online resource. :
Contained By:
Springer Nature Living Reference
Subject:
Geology—Statistical methods. -
Online resource:
https://doi.org/10.1007/978-3-030-26050-7
ISBN:
9783030260507
Encyclopedia of Mathematical Geosciences
Encyclopedia of Mathematical Geosciences
[electronic resource] /edited by B.S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg. - online resource. - Encyclopedia of Earth Sciences Series,1388-4360. - Encyclopedia of Earth Sciences Series,.
Artificial Intelligence -- Bigdata -- Chaos and Singularity Analysis in Geosciences -- Compositional Data Analysis -- Computational Geosciences -- Digital Image Processing and Analysis -- Fractals and Multifractals -- Fuzzy and Rough Set Theory in Geosciences -- Geographical Information Science -- Geomathematics -- Geostatistics -- Inversion Theory -- Kriging -- Machine Learning and Geosciences -- Mathematical Morphology -- Mathematical Petrology -- Morphometry and Hypsometry -- Multiple Point Statistics -- Neural Networks -- Signal Processing and Analysis -- Spatial Data Sciences -- Spatial Statistics -- Stochastic -- Wavelets in Geosciences.
The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written over 300 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.
ISBN: 9783030260507
Standard No.: 10.1007/978-3-030-26050-7doiSubjects--Topical Terms:
1254867
Geology—Statistical methods.
LC Class. No.: QE33.2.S82
Dewey Class. No.: 553
Encyclopedia of Mathematical Geosciences
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Artificial Intelligence -- Bigdata -- Chaos and Singularity Analysis in Geosciences -- Compositional Data Analysis -- Computational Geosciences -- Digital Image Processing and Analysis -- Fractals and Multifractals -- Fuzzy and Rough Set Theory in Geosciences -- Geographical Information Science -- Geomathematics -- Geostatistics -- Inversion Theory -- Kriging -- Machine Learning and Geosciences -- Mathematical Morphology -- Mathematical Petrology -- Morphometry and Hypsometry -- Multiple Point Statistics -- Neural Networks -- Signal Processing and Analysis -- Spatial Data Sciences -- Spatial Statistics -- Stochastic -- Wavelets in Geosciences.
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The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written over 300 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.
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Reference Module Physical and Materials Science (SpringerNature-43751)
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