knitr::opts_chunk$set( collapse = TRUE, comment = "#>", dpi = 50 ) options(preferRaster = TRUE)
starsExtra
R package starsExtra
provides several miscellaneous functions for working with stars
objects, mainly single-band rasters. Currently includes functions for:
CRAN version:
install.packages("starsExtra")
GitHub version:
install.packages("remotes") remotes::install_github("michaeldorman/starsExtra")
Once installed, the library can be loaded as follows:
library(starsExtra)
data(dem) dem_mean3 = focal2(dem, matrix(1, 3, 3), "mean", na.rm = TRUE) dem_sum3 = focal2(dem, matrix(1, 3, 3), "sum", na.rm = TRUE) dem_min3 = focal2(dem, matrix(1, 3, 3), "min", na.rm = TRUE) dem_max3 = focal2(dem, matrix(1, 3, 3), "max", na.rm = TRUE)
plot(dem, main = "input", text_values = TRUE, breaks = "equal", col = terrain.colors(10)) plot(dem, col = rep(NA, 3), key.pos = NULL, main = "") plot(round(dem_mean3, 1), main = "mean (k=3)", text_values = TRUE, breaks = "equal", col = terrain.colors(10)) plot(dem_sum3, main = "sum (k=3)", text_values = TRUE, breaks = "equal", col = terrain.colors(10)) plot(dem_min3, main = "min (k=3)", text_values = TRUE, breaks = "equal", col = terrain.colors(10)) plot(dem_max3, main = "max (k=3)", text_values = TRUE, breaks = "equal", col = terrain.colors(10))
data(carmel) carmel_mean9 = focal2(carmel, matrix(1, 9, 9), "mean", na.rm = TRUE, mask = TRUE) carmel_mean27 = focal2(carmel, matrix(1, 27, 27), "mean", na.rm = TRUE, mask = TRUE)
plot(carmel, main = "input", breaks = "equal", col = terrain.colors(10)) plot(carmel_mean9, main = "mean (k=9)", breaks = "equal", col = terrain.colors(10)) plot(carmel_mean27, main = "mean (k=27)", breaks = "equal", col = terrain.colors(10))
data(carmel) carmel_slope = slope(carmel)
plot(carmel, breaks = "equal", col = terrain.colors(11)) plot(carmel_slope, breaks = "equal", col = hcl.colors(11, "Spectral"))
data(carmel) carmel_aspect = aspect(carmel)
plot(carmel, breaks = "equal", col = terrain.colors(11)) plot(carmel_aspect, breaks = "equal", col = hcl.colors(11, "Spectral"))
data(golan) golan_asp = aspect(golan) golan_ci = CI(golan_asp, k = 25)
plot(golan, breaks = "equal", col = terrain.colors(11)) plot(golan_asp, breaks = "equal", col = hcl.colors(11, "Spectral")) plot(golan_ci, breaks = "equal", col = hcl.colors(11, "Spectral"))
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