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Handling Dataset with Geophysical and Geological Variables on the Bolivian Andes by the GMT Scripts

Author

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  • Polina Lemenkova

    (Laboratory of Image Synthesis and Analysis, École Polytechnique de Bruxelles, Université Libre de Bruxelles, 1050 Brussels, Belgium)

Abstract

In this paper, an integrated mapping of the georeferenced data is presented using the QGIS and GMT scripting tool set. The study area encompasses the Bolivian Andes, South America, notable for complex geophysical and geological parameters and high seismicity. A data integration was performed for a detailed analysis of the geophysical and geological setting. The data included the raster and vector datasets captured from the open sources: the IRIS seismic data (2015 to 2021), geophysical data from satellite-derived gravity grids based on CryoSat, topographic GEBCO data, geoid undulation data from EGM-2008, and geological georeferences’ vector data from the USGS. The techniques of data processing included quantitative and qualitative evaluation of the seismicity and geophysical setting in Bolivia. The result includes a series of thematic maps on the Bolivian Andes. Based on the data analysis, the western region was identified as the most seismically endangered area in Bolivia with a high risk of earthquake hazards in Cordillera Occidental, followed by Altiplano and Cordillera Real. The earthquake magnitude here ranges from 1.8 to 7.6. The data analysis shows a tight correlation between the gravity, geophysics, and topography in the Bolivian Andes. The cartographic scripts used for processing data in GMT are available in the author’s public GitHub repository in open-access with the provided link. The utility of scripting cartographic techniques for geophysical and topographic data processing combined with GIS spatial evaluation of the geological data supported automated mapping, which has applicability for risk assessment and geological hazard mapping of the Bolivian Andes, South America.

Suggested Citation

  • Polina Lemenkova, 2022. "Handling Dataset with Geophysical and Geological Variables on the Bolivian Andes by the GMT Scripts," Data, MDPI, vol. 7(6), pages 1-18, June.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:6:p:74-:d:829762
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    References listed on IDEAS

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    1. Robert M. Holder & Daniel R. Viete & Michael Brown & Tim E. Johnson, 2019. "Metamorphism and the evolution of plate tectonics," Nature, Nature, vol. 572(7769), pages 378-381, August.
    2. Jennifer Kreklow & Björn Tetzlaff & Gerald Kuhnt & Benjamin Burkhard, 2019. "A Rainfall Data Intercomparison Dataset of RADKLIM, RADOLAN, and Rain Gauge Data for Germany," Data, MDPI, vol. 4(3), pages 1-16, August.
    3. Nicolas Cadieux & Margaret Kalacska & Oliver T. Coomes & Mari Tanaka & Yoshito Takasaki, 2020. "A Python Algorithm for Shortest-Path River Network Distance Calculations Considering River Flow Direction," Data, MDPI, vol. 5(1), pages 1-14, January.
    4. Iqbal, Badar A., 1986. "The economics of tin mining in Bolivia : by M. A. Ayub World Bank, Washington, DC, 1985," Resources Policy, Elsevier, vol. 12(2), pages 153-154, June.
    5. Luis Carlos Jemio, 2008. "Booms and Collapses of the Hydro Carbons Sector in Bolivia," Development Research Working Paper Series 09/2008, Institute for Advanced Development Studies.
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    Citations

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    Cited by:

    1. Polina Lemenkova & Olivier Debeir, 2023. "Quantitative Morphometric 3D Terrain Analysis of Japan Using Scripts of GMT and R," Land, MDPI, vol. 12(1), pages 1-29, January.
    2. Polina Lemenkova & Olivier Debeir, 2022. "R Libraries for Remote Sensing Data Classification by k-means Clustering and NDVI Computation in Congo River Basin, DRC," ULB Institutional Repository 2013/352357, ULB -- Universite Libre de Bruxelles.
    3. Polina Lemenkova & Olivier Debeir, 2022. "Seismotectonics of Shallow-Focus Earthquakes in Venezuela with Links to Gravity Anomalies and Geologic Heterogeneity Mapped by a GMT Scripting Language," Sustainability, MDPI, vol. 14(23), pages 1-21, November.

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