Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries

Polina LEMENKOVA

Makale detayları

Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries

Yazarlar:

Polina LEMENKOVA

Yayıncı:

Kyrgyz-Turkish Manas University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

MANAS Journal of Engineering 2019 Vol.7 Issue 2, pp.99-113

Belge Tipi:

Makale

Yayın Tarihi:

12/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000527906

Sıklık:

İki Yıllık

eISSN:

1694-7398

pISSN:

1694-7398

Özet:

 


Multiple factors affect submarine geomorphology causing variations in the gradient slope: geological settings (rock composition, structure, permeability, erodibility of the materials), submarine erosion, gravity flows of water streams, tectonics, sediments from the volcanic arcs, transported by transverse submarine canyons. Understanding the slope geomorphology is important for the precise bathymetric mapping. However, analysis of such a complex geomorphic structure as ocean trench requires numerical computation and advanced statistical analysis of the data set. Such methods are proposed by R and Python programming languages that include libraries of machine learning algorithms for the data processing used in this research: {tidyverse}, {ggsignif}, {ggplot} and {magrittr} by R, StatsModels, Matplotlib, NumPy, Pandas and Seaborn by Python. The research workflow can be summarized in five steps: 1) Partial least squares regression analysis; 2) Violin plots, modified box plot approach; 3) Modelling variations of depth and slope gradient, facetted in multi-panel plots by 4 tectonic plates; 4) Calculating normalized steepness angle; 5) Sorting, ranking and grouping of the cross-sectioning profiles by gradient slope degree, to estimate differences in the geomorphic shapes. As a result of the ranking performed in step 5, slopes were classified into five classes based on the calculated tangent angles: strong, very strong, extreme, steep, very steep. The results show differences in the gradient slope between various segments of the Mariana Trench located in four tectonic plates: Mariana, Caroline, Pacific and Philippine Sea, performed by statistical data modelling. Programming codes and snippets are presented for repeatability of the methods in similar research tasks.

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Makale detayları

Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries

Yazarlar: Polina LEMENKOVA

Yayıncı: Kyrgyz-Turkish Manas University

Ana Başlıklar: Uygulamalı fizik

Dergi: MANAS Journal of Engineering 2019 Vol.7 Issue 2, pp.99-113

Belge Tipi: Makale

Yayın Tarihi: 12/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000527906

Sıklık: İki Yıllık

eISSN: 1694-7398

pISSN: 1694-7398

Sayı

Yazarlar:

Polina LEMENKOVA

Yayıncı:

Kyrgyz-Turkish Manas University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

MANAS Journal of Engineering 2019 Vol.7 Issue 2, pp.99-113

Belge Tipi:

Makale

Yayın Tarihi:

12/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000527906

Sıklık:

İki Yıllık

eISSN:

1694-7398

pISSN:

1694-7398