JpGU-AGU Joint Meeting 2020

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[J] Poster

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[O-04] Poster presentations by senior high school students

convener:Tatsuhiko Hara(International Institute of Seismology and Earthquake Engineering, Building Research Institute), Katsuyoshi Michibayashi(Department of Earth and Planetary Sciences, Nagoya University), Miwa Kuri(Japan Meteorological Agency), Keiko Konya(Japan Agency for Marine-Earth Science and Technology)

[O04-P52] Multivariate analysis of data of forest soil by using “Face Chart”

*Fujimoto Takeshi1, *Hina Nakatani1, *Hokuto Nakatsu1 (1.Kyoto Prefectural Sagano High School)

Keywords:Forest, Soil profile, Face chart, Multivariate analysis, Multicollinearity

The data of the soil profile survey is difficult for non-experts to understand what the soil is like. Therefore, the purpose of this study was to make the soil survey results visually easy to understand by performing a multivariate analysis (principal component analysis, cluster analysis (Ward method)) on the soil data and showing it on a face chart which would be easy for the layman to understand. We did soil profile surveys at the Woods for Field Practice Owned by Sagano H.S. (a mixed forest) located in the Satoyama woods area in Kyoto city. We analyzed these results. We used “R” to analyze. As a result, we could visualize the main data of soil profiles by using these face charts. The soil is so complex that we have to consider multicollinearity in future.