• Generic Mapping Tools and Matp...

Treffer: Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology

Title:
Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology
Authors:
Lemenkova, Polina
Contributors:
Ocean University of China (OUC), China Scholarship Council (CSC) State Oceanic Administration (SOA) Marine Scholarship of China, Grant Nr. 2016SOA002
Source:
International Journal of Environment and Geoinformatics. 6(3):225-237
Publisher Information:
HAL CCSD; IJEGEO, 2019.
Publication Year:
2019
Collection:
collection:SDE
collection:GIP-BE
Subject Terms:
GMT, Mapping, Python, Statistics, Mariana Trench, Marine Geology, [SDE]Environmental Sciences, [SDU]Sciences of the Universe [physics], [STAT]Statistics [stat], [STAT.AP]Statistics [stat], Applications [stat.AP], [STAT.CO]Statistics [stat], Computation [stat.CO], [STAT.ME]Statistics [stat], Methodology [stat.ME], [SDU.OCEAN]Sciences of the Universe [physics], Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics], Earth Sciences, [SDU.STU.AG]Sciences of the Universe [physics], Applied geology, [SDU.STU.GM]Sciences of the Universe [physics], Geomorphology, [SDU.STU.OC]Sciences of the Universe [physics], Oceanography, [SDU.STU.GP]Sciences of the Universe [physics], Geophysics [physics.geo-ph]
Original Identifier:
HAL: hal-02412970
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
2148-9173
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.30897/ijegeo.567343
DOI:
10.30897/ijegeo.567343
Access URL:
https://hal.science/hal-02412970
https://hal.science/hal-02412970/document
https://hal.science/hal-02412970/file/Generic%20Mapping%20Tools%20and%20Matplotlib%20Package%20of%20Python.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.02412970v1
Database:
HAL

Weitere Informationen

Understanding patterns of the correlation between the geomorphology and geology of the seafloor of the hadal trenches is important for the proper ocean modelling. Current paper focuses on the west Pacific Ocean region with a special case of Mariana Trench, the deepest hadal trench on the planet. Methodology of the research include combination of Generic Mapping Tools (GMT) and Quantum GIS based mapping of the geographic location, bathymetry, geodesy, sediment thickness, geomorphic shape, tectonic and geologic structure of the Mariana Trench area, and statistical analysis by means of Python. A GMT was selected for GIS visualization due to its powerful functionality and effective cartographic solutions. An object-oriented high-level programming language, Python was chosen for the data analysis and scientific plotting. The statistical analysis includes following steps: 1) Data distribution by the box plots; 2) Data sorting and grouping by stem plots; 3) Correlation analysis by 3D comparative plots referred to four tectonic plates; 4) Principal Component Analysis; 5) Analysis of Variance. The statistical analysis of the data set was performed in Matplotlib library and its dependencies: NumPy, SciPy and Pandas. A combination of the powerful methods by GMT with data analysis supported by Python programming language is an important method in geosciences aimed to increase the effectiveness of the data analysis by cartographic mapping, statistical computations and graph plotting. This paper illustrated usage of GMT, QGIS and Python for combined data analysis scheme. The results demonstrated correlation between the sediment thickness, slope steepness, depths and location of the bathymetric profiles crossing adjacent tectonic plates: Philippine, Pacific, Caroline and Mariana.