R Under development (unstable) (2024-07-13 r86895 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > suppressPackageStartupMessages(library(stars)) > if (suppressPackageStartupMessages(require(sp, quietly = TRUE)) && require(spacetime, quietly = TRUE)) { + data(air) # this loads several datasets in .GlobalEnv + dim(air) + d = st_dimensions(station = st_as_sfc(stations), time = dates) + aq = st_as_stars(list(PM10 = air), dimensions = d) + image(aperm(log(aq), 2:1), main = "NA pattern (white) in PM10 station time series") + st_geometry(aq) + } Geometry set for 70 features Geometry type: POINT Dimension: XY Bounding box: xmin: 6.28107 ymin: 47.80847 xmax: 14.78617 ymax: 54.92497 Geodetic CRS: +proj=longlat +datum=WGS84 +no_defs First 5 geometries: POINT (9.585911 53.67057) POINT (9.68503 53.52418) POINT (9.791584 54.07312) POINT (13.64701 52.44775) POINT (13.29635 52.65315) > > csv = system.file("tif/ESACCI-LC-Legend.csv", package = "starsdata") > if (csv != "") { + rgb = read.csv(csv, header = TRUE, sep = ";") + luc = read_stars(system.file("tif/LUC3.tif", package = "starsdata")) + plot(luc, rgb = rgb, axes = TRUE, key.pos = NULL) + } > > # https://github.com/r-spatial/stars/issues/233 : > nc = read_sf(system.file("shape/nc.shp", package = "sf")) > output = st_as_stars(st_bbox(nc), nx = 1, ny = 1, values = 1) > plot(output) Warning message: In plot.stars(output) : breaks="quantile" leads to a single class; maybe try breaks="equal" instead? > > proc.time() user system elapsed 1.82 0.21 2.03