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Like for other plots, there are different approaches in R to make maps. You can use “base plot” in many cases. Alternatively use levelplot, either via the spplot function (implemented in sp and raster) or via the rasterVis package. Here are some brief examples about making maps.
15 gru 2020 · How do you access Open Street Map in R? You can obtain access to OSM data in R via the osmdata package. To get started, load the osmdata package and let’s begin drawing a map of bars in a section of central London.
31 mar 2015 · In this post we show some simple (and not-so-simple) examples of how to work with raster data in R with a focus on the raster package. This post also makes extensive use of the “new” R workflow with the packages dplyr , magrittr , tidyr and ggplot2 .
The generic plot () function is often the fastest way to create static maps from vector and raster spatial objects (see sections 2.2.3 and 2.3.2). Sometimes, simplicity and speed are priorities, especially during the development phase of a project, and this is where plot () excels.
basemaps is a lightweight R package to download and cache spatial basemaps from open sources such as OpenStreetMap, Stamen, Stadia, Thunderforest, Carto, Mapbox, Esri and others. Retrieved basemaps are translated into and returned as classes of choice, such as terra, stars, raster, ggplot, mapview, magick, or as files, such as png or geotif ...
Know how to explore raster attributes in R. Be able to import rasters into R using the raster package. Be able to quickly plot a raster file in R. Understand the difference between single- and multi-band rasters.
We create maps of areal data using several functions and parameters of the mapping packages. We also briefly describe how to plot point and raster data. Then, we show how to create maps of flows between locations with the flowmapblue package (Boyandin 2023).
