set.seed(123)
long <- rnorm(50, sd=100)
lat <- rnorm(50, sd=50)
d <- data.frame(long=long, lat=lat)
d <- with(d, d[abs(long) < 150 & abs(lat) < 70,])
n <- nrow(d)
d$region <- factor(1:n)
d$A <- abs(rnorm(n, sd=1))
d$B <- abs(rnorm(n, sd=2))
d$C <- abs(rnorm(n, sd=3))
d$D <- abs(rnorm(n, sd=4))
d[1, 4:7] <- d[1, 4:7] * 3
head(d)## long lat region A B C D
## 1 -56.047565 12.665926 1 2.13121969 8.663359 3.928711 8.676792
## 2 -23.017749 -1.427338 2 0.25688371 1.403569 1.375096 4.945092
## 4 7.050839 68.430114 3 0.24669188 0.524395 3.189978 5.138863
## 5 12.928774 -11.288549 4 0.34754260 3.144288 3.789556 2.295894
## 8 -126.506123 29.230687 5 0.95161857 3.029335 1.048951 2.471943
## 9 -68.685285 6.192712 6 0.04502772 3.203072 2.596539 4.439393
ggplot() + geom_scatterpie(aes(x=long, y=lat, group=region), data=d,
cols=LETTERS[1:4]) + coord_equal()d$radius <- 6 * abs(rnorm(n))
p <- ggplot() + geom_scatterpie(aes(x=long, y=lat, group=region, r=radius), data=d,
cols=LETTERS[1:4], color=NA) + coord_equal()
p + geom_scatterpie_legend(d$radius, x=-140, y=-70)The geom_scatterpie is especially useful for visualizing
data on a map.
world <- map_data('world')
p <- ggplot(world, aes(long, lat)) +
geom_map(map=world, aes(map_id=region), fill=NA, color="black") +
coord_quickmap()
p + geom_scatterpie(aes(x=long, y=lat, group=region, r=radius),
data=d, cols=LETTERS[1:4], color=NA, alpha=.8) +
geom_scatterpie_legend(d$radius, x=-160, y=-55)p + geom_scatterpie(aes(x=long, y=lat, group=region, r=radius),
data=d, cols=LETTERS[1:4], color=NA, alpha=.8) +
geom_scatterpie_legend(d$radius, x=-160, y=-55, n=3, labeller=function(x) 1000*x^2)Here is the output of sessionInfo() on the system on
which this document was compiled:
## R version 4.6.0 (2026-04-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.4 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## time zone: Etc/UTC
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] scatterpie_0.2.6 ggplot2_4.0.3 prettydoc_0.4.1
##
## loaded via a namespace (and not attached):
## [1] gtable_0.3.6 jsonlite_2.0.0 dplyr_1.2.1
## [4] compiler_4.6.0 maps_3.4.3 tidyselect_1.2.1
## [7] tidyr_1.3.2 ggfun_0.2.0.001 jquerylib_0.1.4
## [10] scales_1.4.0 yaml_2.3.12 fastmap_1.2.0
## [13] R6_2.6.1 labeling_0.4.3 generics_0.1.4
## [16] knitr_1.51 yulab.utils_0.2.4.001 MASS_7.3-65
## [19] polyclip_1.10-7 tibble_3.3.1 maketools_1.3.2
## [22] bslib_0.11.0 pillar_1.11.1 RColorBrewer_1.1-3
## [25] rlang_1.2.0 cachem_1.1.0 xfun_0.58
## [28] fs_2.1.0 sass_0.4.10 sys_3.4.3
## [31] S7_0.2.2 cli_3.6.6 withr_3.0.2
## [34] magrittr_2.0.5 tweenr_2.0.3 digest_0.6.39
## [37] grid_4.6.0 ggforce_0.5.0 rappdirs_0.3.4
## [40] lifecycle_1.0.5 vctrs_0.7.3 evaluate_1.0.5
## [43] glue_1.8.1 farver_2.1.2 buildtools_1.0.0
## [46] purrr_1.2.2 rmarkdown_2.31 tools_4.6.0
## [49] pkgconfig_2.0.3 htmltools_0.5.9