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Data-Driven Discovery in m.neralogy: Recent Advances in Data Resources, Analysis, and Visualization

Engineering 2019年第3期5卷 397-405页

作者： Robert m. Hazen Robert T. Downs Ahm.d Eleish Peter Fox Olivier C. Gagné Joshua J. Golden Edward S. Grew Daniel R. Hum.er Grethe Hystad Sergey V. Krivovichev Congrui Li Chao Liu Xiaogang m. shaunna m. morrison Feifei Pan Alexander J. Pires Anirudh Prabhu Jolyon Ralph Sim.ne E. Runyon Hao Zhong Geophysical Laboratory Carnegie Institution for Science Washington DC 20015 USA Departm.nt of Geology and Geophysics University of Wyoming Laramie WY 82071-2000 USA Departm.nt of Geosciences The University of Arizona Tucson AZ 85721-0077 USA Tetherless World Constellation Rensselaer Polytechnic Institute Troy NY 12180 USA School of Earth and Clim.te Sciences University of Maine Orono ME 04469 USA Departm.nt of Geology Southern Illinois University Carbondale IL 62901 USA m.them.tics Statistics and Computer Science Purdue University Northwest Hammond IN 46323-2094 USA Kola Science Centre of the Russian Academ. of Sciences Apatity Murmansk Region 184209 Russia Departm.nt of Com.uter Science University of Idaho Moscow ID 83844-1010 USA *** Mitcham CR4 4FD UK

Large and growing data resources on the diversity, distribution, and properties of m.nerals are ushering in a new era of data-driven discovery in m.neralogy. The m.st com.rehensive international m.neral database is the Im. database, which includes inform.tion on m.re than 5400 approved m.neral species and their properties, and the *** data source, which contains m.re than 1 m.llion species/locality data on m.nerals found at m.re than 300 000 localities. Analysis and visualization of these data with diverse techniques—including chord diagram., cluster diagram., Klee diagram., skyline diagram., and varied m.thods of network analysis—are leading to a greater understanding of the co-evolving geosphere and biosphere. New data-driven approaches include m.neral evolution, m.neral ecology, and m.neral network analysis—m.thods that collectively consider the distribution and diversity of m.nerals through space and tim.. These strategies are fostering a deeper understanding of m.neral co-occurrences and, for the first tim., facilitating predictions of m.neral species that occur on Earth but have yet to be discovered and described.

关键词： m.neral evolution ecology Skyline diagram. Network analysis Cluster Chord Klee

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Application of Advanced Analytics and Visualization in m.neral System.

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Acta Geologica Sinica(English Edition) 2019年第S1期93卷 55-55页

作者： shaunna m.morrison Anirudh PRABHU Ahm.d ELEISH PAN Feifei ZHONG Hao HUANG Fang Peter FOX m. Xiaogang Jolyon RALPH Joshua J.GOLDEN Robert T.DOWNS LIU Chao Sim.ne E.RUNYON Robert m.HAZEN Geophysical Laboratory Carnegie Institution for Science1530 P Street NWWashington DC 20005USA Rensselaer Polytechnic Institute 1008th StTroyNY 12180USA University of Idaho 875 Perimeter DrMoscowID 83844USA *** University of Arizona TucsonAZ 85721USA University of Wyom.ng 1000 E University AveLaramieWY 82071USA

The key to answering m.ny com.elling and com.lex questions in Earth,planetary,and life science lies in breaking down the barriers between scientific fields and harnessing the integrated,m.lti-disciplinary power of Earth,planetary,and bioscience data *** have a unique opportunity to integrate large and rapidly expanding"big data"resources,to enlist powerful analytical and visualization m.thods,and to answer m.lti-disciplinary questions that cannot be addressed by one field alone.

关键词： m.nerals network analysis data-driven discovery m.neral evolution m.neral ecology

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