The geometry is based on geom_map(). See the documentation for those functions for more details.




arguments passed to base function, plus any of the interactive_parameters().

Details for geom_*_interactive functions

The interactive parameters can be supplied with two ways:

  • As aesthetics with the mapping argument (via aes()). In this way they can be mapped to data columns and apply to a set of geometries.

  • As plain arguments into the geom_*_interactive function. In this way they can be set to a scalar value.

See also


# add interactive maps to a ggplot ------- library(ggplot2) library(ggiraph) crimes <- data.frame(state = tolower(rownames(USArrests)), USArrests) # create tooltips and onclick events states_ <- sprintf("<p>%s</p>", as.character(crimes$state) ) table_ <- paste0( "<table><tr><td>UrbanPop</td>", sprintf("<td>%.0f</td>", crimes$UrbanPop), "</tr><tr>", "<td>Assault</td>", sprintf("<td>%.0f</td>", crimes$Assault), "</tr></table>" ) onclick <- sprintf( "\"%s%s\")", "", as.character(crimes$state) ) crimes$labs <- paste0(states_, table_) crimes$onclick = onclick if (require("maps") ) { states_map <- map_data("state") gg_map <- ggplot(crimes, aes(map_id = state)) gg_map <- gg_map + geom_map_interactive(aes( fill = Murder, tooltip = labs, data_id = state, onclick = onclick ), map = states_map) + expand_limits(x = states_map$long, y = states_map$lat) x <- girafe(ggobj = gg_map) if( interactive() ) print(x) }
#> Loading required package: maps