tmap_mode("plot")

Global War and Conflict Impact

tm_shape(r) + tm_raster()

library(tmap) system.file("gpkg/nc.gpkg", package = "sf") |> read_sf() |> st_transform('EPSG:32119') -> nc.32119 tm_shape(nc.32119) + tm_polygons(c("SID74", "SID79"), title = "SIDS") + tm_layout(legend.outside = TRUE, panel.labels = c("1974-78", "1979-84")) + tm_facets(free.scales=FALSE)

A/B testing example using hypothesis testing, confidence intervals, and visualization in R.

library(ggplot2) library(stars) r <- read_stars(system.file("tif/L7_ETMs.tif", package = "stars")) ggplot() + geom_stars(data = r) + facet_wrap(~band) + coord_equal() + theme_void() + scale_x_discrete(expand = c(0,0)) + scale_y_discrete(expand = c(0,0)) + scale_fill_viridis_c()

Dashboard quarto

library(tidyverse) |> suppressPackageStartupMessages() nc.32119 <- st_transform(nc, 32119) year_labels <- c("SID74" = "1974 - 1978", "SID79" = "1979 - 1984") nc.32119 |> select(SID74, SID79) |> pivot_longer(starts_with("SID")) -> nc_longer ggplot() + geom_sf(data = nc_longer, aes(fill = value), linewidth = 0.4) + facet_wrap(~ name, ncol = 1, labeller = labeller(name = year_labels)) + scale_y_continuous(breaks = 34:36) + scale_fill_gradientn(colours = sf.colors(20)) + theme(panel.grid.major = element_line(colour = "white"))

library(stars) # Loading required package: abind system.file("tif/L7_ETMs.tif", package = "stars") |> read_stars() -> r st_bbox(r) |> st_as_sfc() |> st_sample(5) |> st_buffer(300) -> circ hook <- function() { plot(circ, col = NA, border = 'yellow', add = TRUE) } plot(r, hook = hook, key.pos = 4)