Reputation: 476
I am working with plots of different classes in r, namely tmap
(main plots) and ggplot
(represent minor information).
library(raster)
library(tmap)
library(RStoolbox)
library(gridExtra)
library(ggplot2)
data("World")
r1 <- raster(ncol=2, nrow=2)
values(r1) <- c(1.5, -0.5, 0.5, -1.5)
r2 <- raster(ncol=2, nrow=2)
values(r2) <- c(1, 1, 0.5, -1.5)
# Then I create two tmap objects and two ggplot objects
tm1 <- tm_shape(World) + tm_polygons()
tm2 <- tm_shape(World) + tm_polygons()
gg1 <- ggR(r1, coord_equal = F, geom_raster = 1) + theme(legend.position = "none", axis.title = element_blank(), axis.text = element_text(size = 3.5))
gg2 <- ggR(r2, coord_equal = F, geom_raster = 1) + theme(legend.position = "none", axis.title = element_blank(), axis.text = element_text(size = 3.5))
# Save each separately
# 1 tmap
current.mode <- tmap_mode("plot")
tmap_plot <- tmap_arrange(tm1, tm2, ncol = 1, nrow = 2)
tmap_save(tmap_plot, "tmap_plot.png", height = 8, width = 6)
# 2 ggplot
g <- arrangeGrob(gg1, gg2)
ggsave(file = "ggplot.png", g, height = 1.75, width = 1.75)
Currently, I save each class separately and combine them by using manual editing tools. I am looking for a solution, how to automate that process already in r. I am also open for suggestions, how to do it in other programming languages, just that it automates the process. Switching to different classes is not an option in my case.
Upvotes: 0
Views: 242
Reputation: 174546
You can draw the ggplots directly over the tmaps using a grid::viewport
.
First, load grid
and set the desired viewport location and dimensions:
library(grid)
subplot_vp <- viewport(x = 0.15,
y = 0.35,
width = unit(0.25, "npc"),
height = unit(0.25, "npc"),
name = "inset")
Now you can do
tm1
grid.draw(grobTree(ggplotGrob(gg1), vp = subplot_vp))
and
tm2
grid.draw(grobTree(ggplotGrob(gg2), vp = subplot_vp))
Upvotes: 1