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022 _a1874-8953
024 7 _a10.1007/11004.1874-8953
_2doi
210 1 0 _aMath Geosci
245 1 0 _aMathematical Geosciences
_h[electronic resource] /
_cedited by W.E. Sharp, Roussos Dimitrakopoulos.
264 1 _aBerlin/Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer.
300 _bonline resource.
520 _aAims and scope Mathematical Geosciences publishes original, high-quality, interdisciplinary papers in geomathematics and related data science, including: Mathematical models, algorithms and computational frameworks, their implementation aspects, and real-life applications. The journal encourages publications emphasizing new developments, concepts and tools in big data and their analytics, processing, integration and assimilation, computational intelligence, machine learning and data-driven modelling, for studies of the Earth, its natural resources and the environment. Publication of method’s code and datasets demonstrating their application are welcome and available as online supplementary material. This international publication is the official journal of the IAMG. Mathematical Geosciences is an essential reference for researchers and practitioners of geomathematics, related models, algorithms and computing, who develop and apply data science methods and quantitative models to earth science and geo-engineering problems. .
650 0 _aEarth sciences.
650 0 _aStatistics .
650 0 _aGeotechnical engineering.
650 0 _aGeology.
650 1 4 _aEarth Sciences.
650 2 4 _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aGeotechnical Engineering and Applied Earth Sciences.
650 2 4 _aGeology.
700 1 _aSharp, W.E.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDimitrakopoulos, Roussos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted version:
_x1874-8961
856 4 0 _uhttps://doi.org/10.1007/11004.1874-8953
_zHybrid
999 _c3931
_d3931