pkuhnert/VizU: Visualizing uncertainty in spatial data
Vizumap provides four uncertainty visualization approaches for spatial data. These approaches include the bivariate choropleth map, map pixelation, glyph rotation, and the exceedance probability map. In Vizumap, there are three different types of functions - formatting, building, and viewing functions - that make it easy to create these uncertainty maps for a range of applied spatial problems.
Getting started
Browse package contents
Package details |
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| Maintainer | Lydia Lucchesi <Lydia.Lucchesi@anu.edu.au> |
| License | GPL-3 |
| Version | 1.2.0 |
| URL | https://lydialucchesi.github.io/Vizumap/ https://github.com/lydialucchesi/Vizumap |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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