Multidisciplinary and Interdisciplinary (M) | ||
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Session Sub-category | General Geosciences, Information Geosciences & Simulations(GI) | |
Session ID | M-GI29 | |
Title | Data-driven geosciences | |
Short Title | Data-driven geosciences | |
Main Convener | Name | Kenta Ueki |
Affiliation | Japan Agency for Marine-Earth Science and Technology | |
Co-Convener 1 | Name | Shin-ichi Ito |
Affiliation | The University of Tokyo | |
Co-Convener 2 | Name | Keita Itano |
Affiliation | Akita University | |
Co-Convener 3 | Name | Masaoki Uno |
Affiliation | Department of Earth and Planetary Science, Graduate School of Science, the University of Tokyo | |
Session Language |
J |
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Scope |
Extracting fundamental physicochemical processes and structures hidden in observational and analytical data is essential to understanding and predicting the dynamic behavior of the earth and planetary systems. Many powerful data-driven methodologies to extract fundamental information from high-dimensional data sets have recently been developed in mathematical and information sciences and applied to various earth sciences, including solid earth, space and planet, biogeosciences, and atmospheric and hydrospheric sciences. This session aims to provide an opportunity for the presentation of results of data-driven analyses and new data analysis methods, including those in the early stages of development, and for the exchange of information and opinions, as well as for interdisciplinary research exchanges within and outside the earth sciences. Discussions in this session among researchers from a variety of fields who are interested in extracting processes and structures from earth science data and in mathematical analysis of such data will promote the application of data analysis methods to earth science data from new perspectives and further accelerate the application of mathematical and information sciences to earth science. |
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Presentation Format | Oral and Poster presentation | |
Invited Authors |
Akifumi Okuno (Research Organization of Information and Systems, The Institute of Statistical Mathematics) Toshiaki Omori (Kobe University) |
Time | Presentation No | Title | Presenter |
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Oral Presentation May 26 AM1 | |||
9:00 - 9:15 | MGI29-01 | Temporal variations of the magma plumbing system of Fuji Volcano, Central Japan, decoded by multivariate statistical analyses of lava geochemistry | Yusuke Katsuki |
9:15 - 9:30 | MGI29-02 | Assessment of formation of groundwater hydrochemistry by using multivariate analysis: a study on fossil seawater in Japanese Neogene sedimentary rocks | Takeyasu Abe |
9:30 - 9:45 | MGI29-03 | Response anomaly detection in count rate derived from terrestrial radiation measured by ultraviolet space telescope detector | Ryoichi Koga |
9:45 - 10:07 | MGI29-04 | Distribution estimation without assuming normality | Akifumi Okuno |
10:07 - 10:30 | MGI29-05 | Data-Driven Approaches to Complex Systems: Extracting Heterogeneous Reaction Dynamics and Super-resolving Rock CT Images | Toshiaki Omori |
Presentation No | Title | Presenter |
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Poster Presentation May 26 PM3 | ||
MGI29-P01 | An Interdisciplinary approach to construct a three-dimensional chemical composition model of the Japan crust toward global geochemical observation using geoneutrino | Kenta Ueki |
MGI29-P02 | Clustering analysis based on data similarity for major element compositions of Archaean granitoids | Kodai MIKAMI |
MGI29-P03 | Addressing Challenges in Source Rock Type Classification Using Mineral Chemical Composition | Keita Itano |
MGI29-P04 | Classification of Lunar Samples using Principal Component Analysis | Masato Kawata |
MGI29-P05 | Data-driven prediction of pumice drifting patterns using similarity search of the Kuroshio current axis: Application to Myojinsho, Izu Islands | Tatsu Kuwatani |