Scatter Pie plot

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)

Session info

Here is the output of sessionInfo() on the system on which this document was compiled:

## R version 3.6.1 (2019-07-05)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Anarchy Linux
## 
## Matrix products: default
## BLAS:   /usr/lib/libblas.so.3.8.0
## LAPACK: /usr/lib/liblapack.so.3.8.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=C              
##  [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       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] scatterpie_0.1.4 ggplot2_3.2.1   
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.2         BiocManager_1.30.9 pillar_1.4.2      
##  [4] compiler_3.6.1     prettydoc_0.3.0    tools_3.6.1       
##  [7] zeallot_0.1.0      digest_0.6.22      lifecycle_0.1.0   
## [10] evaluate_0.14      tibble_2.1.3       gtable_0.3.0      
## [13] pkgconfig_2.0.3    rlang_0.4.1        rvcheck_0.1.6     
## [16] yaml_2.2.0         xfun_0.10          withr_2.1.2       
## [19] dplyr_0.8.3        stringr_1.4.0      knitr_1.25        
## [22] maps_3.3.0         vctrs_0.2.0        grid_3.6.1        
## [25] tidyselect_0.2.5   glue_1.3.1         R6_2.4.0          
## [28] rmarkdown_1.16     polyclip_1.10-0    tidyr_1.0.0       
## [31] purrr_0.3.3        tweenr_1.0.1       farver_1.1.0      
## [34] magrittr_1.5       ellipsis_0.3.0     backports_1.1.5   
## [37] scales_1.0.0       htmltools_0.4.0    MASS_7.3-51.4     
## [40] assertthat_0.2.1   ggforce_0.3.1      colorspace_1.4-1  
## [43] labeling_0.3       stringi_1.4.3      lazyeval_0.2.2    
## [46] munsell_0.5.0      crayon_1.3.4