Welcome to Maps with R!

• Work with two-dimensional, geospatial data within R

• Learn about projections and coordinate reference systems

• Learn about map elements and visual aethetics

• Create maps with popular tools like ggplot2, tmap, and leaflet

Overview Introduction

Plotting

R's most popular plotting package can handle geospatial data with "geom_sf()" and the optional addition of "coord_sf()".

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Flexible and layer-based, tmap can quickly generate thematic maps, such as chorpleths and bubble maps.

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Create and customize interactive maps using the popular 'Leaflet' JavaScript library. These maps can be used in web applications.

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Render quick plots during the development phase with large datasets to view geometries and their attributes.

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mapdeck is an R library which lets you plot really, really large data sets on interactive maps using Mapbox GL and Deck.gl

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Create interactive flow maps to visualize commuting patterns, bicycle patterns, migration, paths and many other topics.

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