
TL;DR
This paper introduces a Shiny app for creating linked micromaps in R, simplifying the visualization of geographically indexed statistical data with an intuitive graphical interface.
Contribution
It provides a user-friendly Shiny application for linked micromaps, enhancing data exploration and visualization compared to previous R packages.
Findings
The app facilitates easy creation of linked micromaps with real-world data.
It improves data exploration speed and intuitiveness.
The paper demonstrates applications with illustrative examples.
Abstract
The linked micromaps approach was originally developed as an improvement to choropleth maps for displaying statistical summaries connected with spatial areal units, such as countries, states, and counties. Two R packages to create linked micromaps were published in 2015. These are the micromap and micromapST packages. The latter was originally for data indexed to the 50 US states and DC, but the latest version accommodates arbitrary geographies. The micromapST package handles the formatting needed for linked micromaps and offers several options for statistical displays (scatterplots, boxplots, time series plots, and more). The micromapST package is very useful and takes care of most details of the layouts, but it can be problematic specifying the data frames needed to create the desired graphic. Furthermore, exploring data through visualization is easier, faster, and more intuitive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
