[skip-ci] Typos

NEWS.md

@@ -14,8 +14,9 @@
   * Include new `spatstat` package structure
 
 # shar 1.3.1
-* Improvements
+* Bugfixes
   * Bugfix in `plot.rd_pat()` and `plot.rd_mar()`
+* New functionality
   * Adding internal `sample_randomized()` function used during plotting
 
 # shar 1.3
@@ -100,8 +101,8 @@
 
 # shar 0.2.1
 * Improvements
-  * minor speed improvment for `reconstruct_pattern()`, `reconstruct_marks()` and `calculate_energy()`
-    * The starting pattern is now identical for all n_random and only the relocation process differs between randomizations
+  * Minor speed improvement for `reconstruct_pattern()`, `reconstruct_marks()` and `calculate_energy()`
+    * The starting pattern is now identical for all n_random and only the relocation process differs between randomization
     * All summary functions are only calculated for 250 steps from 0 to `rmax`
 * Bugfixes
 * New functionality

R/plot.rd_pat.R

@@ -2,7 +2,7 @@
 #'
 #' @description Plot method for rd_pat object
 #'
-#' @param x rd_pat bject with randomized patterns.
+#' @param x rd_pat object with randomized patterns.
 #' @param what Character specifying to plot summary functions of point patterns
 #' (\code{what = "sf"}) or actual patterns (\code{what = "pp"}).
 #' @param n Integer with number or vector of ids of randomized pattern to plot.

vignettes/articles/background.Rmd

@@ -27,7 +27,7 @@ The following two methods randomize the environmental data, i.e. the SpatRaster
 The torus-translation test (Harms et al. 2001) shifts the habitat map in all four cardinal directions around a torus. This is only possible for square rasters. To use this method in **shar** use `translate_raster()`.
 
 ### Randomized-habitats procedure
-The randomze-habitats procedure (Harms et al. 2001) is also possible for non-square raster and randomizes the habitats using a random-walk algorithm. To use this method in **shar** use `randomize_raster()`.
+The randomized-habitats procedure (Harms et al. 2001) is also possible for non-square raster and randomizes the habitats using a random-walk algorithm. To use this method in **shar** use `randomize_raster()`.
 
 ```{r random-walk, echo = FALSE, out.height = "35%", out.width = "35%", fig.align = "center"}
 knitr::include_graphics("random_walk.gif")