diff --git a/R/tm_scale_.R b/R/tm_scale_.R
index cf9a28750..ac54323a1 100644
--- a/R/tm_scale_.R
+++ b/R/tm_scale_.R
@@ -127,6 +127,7 @@ tm_scale_categorical = function(n.max = 30,
 #' @param label.na (generic scale argument) Label for missing values
 #' @param label.null (generic scale argument) Label for null (out-of-scope) values
 #' @param label.format (generic scale argument) Label formatting (similar to legend.format in tmap3)
+#' @seealso \href{https://r-tmap.github.io/tmap/articles/basics_scales}{tmap basics: scales}
 #' @seealso [tm_scale()]
 #' @export
 tm_scale_intervals = function(n = 5,
diff --git a/vignettes/basics_scales.Rmd b/vignettes/basics_scales.Rmd
index 63eeee10e..4539a7c6e 100644
--- a/vignettes/basics_scales.Rmd
+++ b/vignettes/basics_scales.Rmd
@@ -74,9 +74,9 @@ Each visual variable, e.g. `fill` in `tm_polygons` can represent a data variable
 s + tm_polygons(fill = "HPI")
 ```
 
-A *scale* defines how to map the data values to visual values. Numeric data variables (e.g. `"HPI"` which stands for Happy Planex Index) are by default mapped with a class interval scale to the polygon fill. This can be set explicitly with `tm_scale_intervals`, via which the intervals can be specified, as well as the visual values (in this case polygon fill colors):
+A *scale* defines how to map the data values to visual values. Numeric data variables (e.g. `"HPI"` which stands for Happy Planet Index) are by default mapped with a class interval scale to the polygon fill. This can be set explicitly with `tm_scale_intervals`, via which the intervals can be specified, as well as the visual values (in this case polygon fill colors):
 
-```{r, eval = FALSE}
+```{r}
 s + tm_polygons(
   fill = "HPI",
   fill.scale = tm_scale_intervals(
@@ -88,6 +88,28 @@ s + tm_polygons(
   ))
 ```
 
+The `style` parameter within `tm_scale_intervals` has a variety of options, including:
+
+- `fixed`
+- `sd`
+- `equal`
+- `pretty`
+- `quantile`
+- `fisher`
+- `jenks`
+
+To specify the classification breaks manually, use `style = "fixed"` and specify the breaks using `breaks = c(0,10,20,30,40,50,60)`:
+
+```{r}
+s + tm_polygons(
+  fill = "HPI",
+  fill.scale = tm_scale_intervals(
+    n = 6, # for n classes 
+  	style = "fixed",    
+    breaks = c(0,10,20,30,40,50,60), # you need n+1 number of breaks
+    values = "pu_gn_div"
+  ))
+```
 
 An alternative for numeric data variables is the continuous scale: