Application of advanced statistical analysis in geoscience and its evolution

Takeshi KOMAI; Tatsu KUWATANI

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT40] New frontier of data analysis in geoscience: Data-driven approach

Thu. May 28, 2015 11:00 AM - 11:45 AM 201A (2F)

Convener:*Tatsu Kuwatani(Graduate School of Environmental Sciences, The University of Tokyo), Takeshi Komai(none), Hideaki Miyamoto(The University Museum, The University of Tokyo), Katsuaki Koike(Laboratory of Environmental Geosphere Engineering, Department of Urban Management, Graduate School of Engineering, Kyoto University), Takane Hori(R&D Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Chair:Kengo Nakamura(Tohoku University Graduate School of Environmental Studies)

11:30 AM - 11:45 AM

[MTT40-16] Application of advanced statistical analysis in geoscience and its evolution

*Takeshi KOMAI¹, Tatsu KUWATANI¹ (1.Tohoku University)

Keywords:geoscience, statistical analysis, sparse modeling

An innovative methodology using sparse modelling as Bayes' theorem for discrimination between tsunami deposits and marine stratum is significantly important, because of its identification of sedimentation origin and evidences of past tsunami event frequency. The authors started an interdisciplinary research area for innovative modelling in the field of geoscience. One of the topics is the geo-statistical sparse modelling of tsunami deposits and soils using metal elements. Sparse modelling is based on fundamental principle of sparseness; most important information is embedded in the low-dimensional subspace for high-dimension data.