ggimg to visualize cache (and obvious connotations)
mdsumner opened this issue · 1 comments
mdsumner commented
library(dplyr)
f <- tibble::tibble(fullname = fs::dir_ls(recurse = TRUE,
ceramic::ceramic_cache(),
type = "file", glob = "*.jpg")) %>%
mutate(zoom = ceramic:::tile_zoom(fullname),
tile_x = ceramic:::tile_x(fullname),
tile_y = ceramic:::tile_y(fullname))
exts <- do.call(rbind, purrr::map(purrr::transpose(f),
~ceramic:::mercator_tile_extent(.x$tile_x, .x$tile_y, .x$zoom, 256)))
f$xmin <- exts[, 1L, drop = TRUE]
f$xmax <- exts[, 2L, drop = TRUE]
f$ymin <- exts[, 3L, drop = TRUE]
f$ymax <- exts[, 4L, drop = TRUE]
files <- f %>% dplyr::filter(grepl("satellite", fullname),
zoom == 6)
library(ggimg)
library(ggplot2)
ggplot(files) + geom_img(aes(xmin = xmin, xmax = xmax,
ymin = ymin, ymax = ymax, img = fullname))
- export efficient (memoized?) functions to get zoom, tile_x, tile_y, tile_xmin/xmax/ymin/ymax
- optionally detect target canvas and resize with vapour::vapour_read_raster (or lazyraster) as appropriate