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Merge pull request #105 from ArneSpang/bk-joss-paper
Updating Figures
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docs/paper/paper.md

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@@ -150,7 +150,7 @@ julia> write_paraview(Cross_200km,"Cross_200km");
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and visualise them along with the volumetric data (\autoref{fig:basic}a).
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![Example of visualising 3D seismic data of the Alps, using a) geographic coordinates (`GeoData`) or b) Cartesian coordinates (`CartData`) projected from geographic coordinates. Shown are topography as well as several slices through the 3D seismic tomography P-wave model of [@Paffrath_Friederich_Schmid_Handy_2021]. \label{fig:basic} ](Basic_Tutorial.png){ width=100% }
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![Example of visualising 3D seismic data of the Alps, using a) geographic coordinates (`GeoData`) or b) Cartesian coordinates (`CartData`) projected from geographic coordinates. Shown are topography as well as several slices through the 3D seismic tomography P-wave model of [@Paffrath_Friederich_Schmid_Handy_2021]. \label{fig:basic} ](../src/assets/img/Basic_Tutorial.png){ width=100% }
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One complication with geographic data is that Paraview does not have native support for geographic coordinates, and accordingly it is not always straightforward to use the built-in tools, for example, to create slices through the data.
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In addition, many numerical models work in (orthogonal) Cartesian rather than in spherical coordinates, which appears to be a good first-order approximation for many geodynamic applications [@Macherel_Räss_Schmalholz_2024].
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docs/src/assets/img/Jura_2.png

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tutorials/Jura_2.pvsm

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tutorials/LaPalma.pvsm

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tutorials/SubductionModel3D_part2.pvsm

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tutorials/Tutorial_AlpineData.pvsm

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