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To show how Rshiny can open our science to end-users by allowing them to engage interactively with research outputs in web applications.
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To provide an overview of the pros and cons of different R packages available for making interactive maps.
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To learn how to make a basic interactive map and tips for speeding up when using large datasets.
Please install the following R packages and their dependencies:
install.packages(c('shiny', 'leaflet', 'sf', 'tmap', 'dplyr'))
Note that installing spatial packages (e.g. sf
) can be challenging on macs with an M1 chip and the Monterey OS
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Presentation slides for the tutorial: 'intro-rshiny-mapping.html'
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Script for making an interactive {leaflet} map: '001_leaflet-map.R'
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Script for turning the {leaflet} map into a dynamic and share-able web app: '002_leaflet-app.R'
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Shiny cheat-sheet for helpful tips: 'shiny-cheatsheet.pdf'
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Spatial data (obtained from
rnaturalearth
R package)