scatterbar

scatterbar extends ggplot2 to visualize proportional data across spatially resolved coordinates using scattered stacked bar chart plots, enhancing the distinguishability of proportional distributions compared to conventional visualizations.

Key Features:

• Scatter Stacked Bar Plots: Visualizes proportional data across many spatially resolved coordinates as stacked bar charts rather than pie charts.
• Enhanced Visual Salience: Increases the visual saliency of proportional data visualizations to help viewers more accurately identify proportional trends and compare proportional differences across spatial locations.
• ggplot2 Integration: Extends the ggplot2 framework for seamless integration into existing R visualization workflows.

Scientific Applications:

• Spatial Transcriptomics Visualization: Displays deconvolved cell-type proportions from spatial transcriptomics datasets, as demonstrated with an adult mouse brain dataset.
• Proportional Data Comparison: Enables comparison of proportional distributions across spatial locations in spatially resolved transcriptomics data.

Methodology:

scatterbar implements scattered stacked bar chart plots as an alternative to scatter pie plots for proportional data visualization across spatial coordinates.