In r-spatial/mapview: Interactive Viewing of Spatial Data in R

knitr::opts_chunk$set(fig.width = 8.83, message = FALSE)

mapview is intended to provide a quick and easy way to visualize/plot spatial data in an interactive manner. As such, a one-liner is enough to produce an interactive map view of the data. Methods are defined for all objects from packages sf, sp, raster and satellite.

Vector data

mapview includes 3 vector type data sets:

breweries - a selection of (micro-) breweries in Franconia, Bavaria.
trails - slected hiking trails in Franconia (not used in this vignette).
franconia - administrative regions of Franconia at the district level.

For vector data a call to mapview without any further arguments will produce a default map view including:

a layer control to switch between 5 different background maps
a scale bar
information on mouse cursor position and zoom level of the current view
a zoom-to-layer button to easily navigate to the displayed layer
popups listing all attribute entries of the respective features (when clicked)
labels of the feature IDs (when hovered over)
zoom control buttons provided by the underlying leaflet map
attribution information of the active map layer in the bottom right corener of the map

Here's an example for each vector type:

library(mapview)
mapview(breweries)

mapview(franconia)

Controlling attribute columns

If we only want to plot certain columns of the attribute table we can use argument zcol. Each column will be rendered as a separate layer. These layers will be colored according to the selected attributes.

mapview(breweries, zcol = c("brewery", "village", "founded"))

Including legends

We can also include legends for the layers. Be careful, though, as it is currently not possible to link legends to layers so we end up with too many legends to fit the viewer window if we want to visualize many layers. This is also the reason why legends are not shown by default.

mapview(breweries, zcol = "founded", legend = TRUE)

Automatic background map detection

Based on the mean luminence of the layer(s) to be rendered, mapview will automatically decide which default map to use. For layers with very light colors of CartoDB.Darkmatter is used.

mapview(breweries)

Here we also adjust line color and width (using lwd)

mapview(franconia, color = "cyan", col.regions = "white", lwd = 3)

Raster data

Here's an example for raster data:

Raster Layer

library(plainview)

mapview(poppendorf[[5]], legend = TRUE)

RasterStack/Brick

mapview(<RasterStack/Brick>) will produce one map view layer for each layer in the stack/brick. Use the layers control to switch between the layers. By default all layers are shown (see chapter advanced for an example on how to hide all but one layer).

The kiliNDVI data can be loaded like this:

kili_data <- system.file("extdata", "kiliNDVI.tif", package = "mapview")
kiliNDVI <- raster::stack(kili_data)

## view the first 3 layers
mapview(kiliNDVI[[1:3]])