Vizumap

Spec sheet

Purpose

Vizumap is an R package for adding statistical uncertainty information to maps of statistical estimates.Read 12 Oct 2026 · lydialucchesi.github.io

Product

Vizumap is an R package for showing statistical uncertainty on maps of statistical estimates.Read 12 Oct 2026 · lydialucchesi.github.io

Intended users

The site says its maps can communicate pollutant predictions and uncertainties to catchment managers and policy makers.Read 12 Oct 2026 · lydialucchesi.github.io

Free plan

YesRead 23 Sep 2026 · lydialucchesi.github.io

License

The site identifies Vizumap version 1.2.0 as licensed under GPLv3.Read 12 Oct 2026 · lydialucchesi.github.io

Animated maps

Pixel maps can be animated across sampled values; areas with high uncertainty flicker more visibly than areas with low uncertainty.Read 12 Oct 2026 · lydialucchesi.github.io

Animation

Pixel maps can be animated, with high uncertainty appearing as visible flickering and low uncertainty appearing almost static.Read 12 Oct 2026 · lydialucchesi.github.io

Applications

The site lists published applications involving Australian plague locust abundance, child undernutrition in Bangladesh, and cropland productivity and shipping activity in Ukraine.Read 12 Oct 2026 · lydialucchesi.github.io

Bivariate maps

Bivariate maps blend colors for estimates and uncertainty into a 3×3 color grid, with each geographic area shown in one color.Read 12 Oct 2026 · lydialucchesi.github.io

Citation

The makers ask users who make or publish a map with Vizumap to cite Lucchesi et al. (2021), published in the Journal of Open Source Software.Read 12 Oct 2026 · lydialucchesi.github.io

Contributions

The project provides contribution guidelines and a Contributor Code of Conduct.Read 12 Oct 2026 · lydialucchesi.github.io

Data sources

Data frames and geographic data including shapefiles; bundled Burdekin example dataRead 23 Sep 2026 · lydialucchesi.github.io

Example audience

The site describes communicating pollutant predictions and uncertainties to catchment managers and policy makers as a use for Vizumap.Read 12 Oct 2026 · lydialucchesi.github.io

Example data

The package includes example data on predicted total suspended sediment loads and prediction uncertainties from Queensland’s upper Burdekin catchment.Read 12 Oct 2026 · lydialucchesi.github.io

Exceedance maps

Exceedance probability maps color each geographic area according to the probability of exceeding a specified threshold or target.Read 12 Oct 2026 · lydialucchesi.github.io

Glyph maps

Glyph maps use color for the estimate and rotation for uncertainty, placing equally sized glyphs at geographic-area centroids to give areas equal visual attention.Read 12 Oct 2026 · lydialucchesi.github.io

Installation

The site provides an installation command using remotes::install_github() for the lydialucchesi/Vizumap repository and instructions to open the package vignette in R.Read 12 Oct 2026 · lydialucchesi.github.io

Integration

The pixel map quick start loads the R package sf and uses its sf_use_s2 function.Read 12 Oct 2026 · lydialucchesi.github.io

Map types

It supports bivariate, pixel, glyph, and exceedance probability maps.Read 12 Oct 2026 · lydialucchesi.github.io

Pixel maps

Pixel maps assign values sampled from an estimate’s confidence or credible interval to small pixels within geographic areas; higher uncertainty appears more pixelated.Read 12 Oct 2026 · lydialucchesi.github.io

Scheduled refresh

NoRead 23 Sep 2026 · lydialucchesi.github.io

Where Specifiction places it

• Data Visualization Software#95 of 986.7