--- title: "3. stars tidyverse methods" author: "Edzer Pebesma" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{3. stars tidyverse methods} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- **For a better version of the stars vignettes see** https://r-spatial.github.io/stars/articles/ ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE, collapse = TRUE, dev = "png") ev = TRUE knitr::opts_chunk$set(fig.height = 4.5) knitr::opts_chunk$set(fig.width = 6) ``` This vignette shows how some of the tidyverse verbs can be used on `stars` objects. The `stars` and `tidyverse` packages are loaded by ```{r} library(stars) library(dplyr) ``` Methods now available for class `stars` are ``` {r} methods(class = "stars") ``` We will work with a three-band section of a landsat image: ```{r} system.file("tif/L7_ETMs.tif", package = "stars") %>% read_stars -> x x ``` ## `slice` `slice` slices a sub-array out of the cube; this is done by specifying the dimension on which to act, and the slice number. ```{r} x %>% slice(band, 6) -> x6 x6 ``` It returns a lower-dimensional array if a single element is selected along the slice dimension. ## `filter` Similar to `slice`, `filter` selects on dimensions but evaluates their values rather than their index: in ```{r} x %>% filter(x > 289000, x < 291000, band > 3) -> x7 x7 ``` the subarray is created based on the x _coordinate_ values. Note that `filter` converts the object to a `tbl_cube`, and uses the `dplyr` `filter` method for `tbl_cube` objects. This has the limitation that `stars` objects with rectilinear, curvilinear or simple feature geometries cannot be handled. For such objects, using regular `[` selection or using `st_crop` may be an alternative. ## `pull` `pull` pulls out an array from a stars object: ```{r} x %>% pull(1) -> x8 class(x8) dim(x8) ``` ## `mutate` ```{r} x %>% mutate(band2 = 2 * L7_ETMs.tif) -> x2 x2 ``` ## `select` `select` selects an attribute, or a set of attributes: ```{r} x2 %>% select(band2) -> x9 x9 ``` ## `geom_stars` `geom_raster` is a `ggplot2` geom function that accepts `stars` objects as its `data` argument and * sets up the raster or vector spatial coordinates as plot dimensions, and the first attribute as the fill variable * allows for downsampling (without choosing a suitable downsampling level) * chooses between using `geom_raster`, `geom_rect` and `geom_sf` depending on whether the geometry is regular, rectilinear or has vector geometries An example use is ```{r} library(ggplot2) library(viridis) ggplot() + geom_stars(data = x) + coord_equal() + facet_wrap(~band) + theme_void() + scale_fill_viridis() + scale_x_discrete(expand = c(0, 0)) + scale_y_discrete(expand = c(0, 0)) ```