mariana-trench

R scripts drawing a hierarchical edge bundling diagram of Mariana Trench project factor/method connections with ggraph/igraph (bundled splines over a hierarchy layout). Fig. 22 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

R script drawing lollipop (stem-and-dot) charts and diverging bar charts of Mariana Trench profiles ranked by normalized value with above/below-average grouping (ggplot2). Figs 19-20 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Python/Seaborn scripts computing and plotting Pearson, Spearman and Kendall correlation matrices as heatmaps, demonstrated on Mariana Trench morphometry (with Nigeria band-correlation variants). Reusable scientific-plotting example.

Python script performing principal component analysis (PCA) with scikit-learn and visualising the components with seaborn, on Mariana Trench morphometry. Reusable data-analysis example.

R script for agglomerative hierarchical cluster analysis of bathymetric profiles: z-score scaling, Euclidean and correlation distance, average-linkage hclust, dendextend/magrittr dendrogram styling, tanglegram comparison and pvclust AU/BP bootstrap p-values. Mariana Trench; Lemenkova (2020), Carpathian JECE 13(1):5-12.

Python/Matplotlib script drawing three-dimensional scatter subplots (mplot3d) of morphometric variables, demonstrated on Mariana Trench data. Reusable scientific-plotting example.

R scripts drawing waffle (square-pie) charts of Mariana Trench slope-aspect and steepness class proportions with the waffle package and a ggplot2 tile equivalent. Companion to Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

R script performing Principal Component Analysis (PCA, prcomp/factoextra) for dimensionality reduction of Mariana Trench bathymetric data, with scree, loadings and biplot. Companion to Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

R script drawing mosaic and association plots (vcd) of Mariana Trench categorical geomorphic factors with Pearson-residual shading as a visual test of independence. Companion to Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Python/Bokeh script drawing an interactive categorical jitter scatter plot, demonstrated on Mariana Trench data. Reusable interactive-visualisation example.

Python script drawing quantile-quantile (Q-Q) plot subplots to check distributional assumptions with statsmodels, on Mariana Trench data. Reusable statistical-graphics example.

R scripts drawing strip plots (jittered 1-D scatter) of Mariana Trench slope, sediment, depth and igneous factors by tectonic plate, combined on one layout (lattice/gridExtra). Fig. 7 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Python/Matplotlib script drawing stacked bar plots of morphometric variables, demonstrated on Mariana Trench data. Reusable scientific-plotting example.

R script drawing a hierarchical treemap of the Mariana Trench geomorphic impact factors grouped into tectonics, bathymetry and geology (treemap package: nested index, value-proportional tiling, Accent palette). Companion to Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

R script drawing a category-wise stacked bar chart of depth observation-point counts per bathymetric profile, coloured by tectonic plate, via data.table melt reshaping and ggplot2 geom_bar (ColorBrewer RdBu). Mariana Trench; Fig. 12 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

GMT (Generic Mapping Tools) shell script mapping the geographic layout of 25 cross-section profiles along the Mariana Trench, plotting profile transects as oriented vectors on an Albers equal-area contour basemap from ETOPO1 relief.

1.000 km-width profiles, 100 km distance between each two.

R script drawing a level plot (heatmap) of Mariana Trench sedimental thickness over geomorphic axes with the lattice package. Fig. 19 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Python/Matplotlib scripts drawing stacked area charts of morphometric variables, demonstrated on Mariana Trench data. Reusable scientific-plotting example.

Python/Seaborn script drawing a facet grid (small multiples) of bathymetric depth distributions across profiles. Reusable scientific-plotting example.