CRAN 4.0

README.Rmd

@@ -52,7 +52,17 @@ knitr::knit_hooks$set(output = function(x, options) {
 
 ## Installation
 
-Installation of **tmap** (version 4) is straightforward:
+Installation of **tmap** is straightforward:
+
+```{r eval=FALSE}
+install.packages("tmap")
+```
+
+For Linux and macOS users who are new to working with spatial data in R, this may fail since additional (non-R) libraries are required (which are automatically installed for Windows users).
+
+### Development version
+
+The development version
 
 ```{r eval=FALSE}
 # install.packages("remotes")
@@ -66,9 +76,6 @@ pak::pak("r-tmap/tmap")
 install.packages("tmap", repos = c("https://r-tmap.r-universe.dev", "https://cloud.r-project.org"))
 ```
 
-The old version of **tmap** (version 3) is available on [![CRAN](https://www.r-pkg.org/badges/version/tmap)](https://cran.r-project.org/package=tmap), but we recommend to use version 4, which will be on CRAN soon.
-
-For Linux and macOS users who are new to working with spatial data in R, this may fail since additional (non-R) libraries are required (which are automatically installed for Windows users).
 
 **Windows**
 No additional installation required.

README.md

@@ -23,7 +23,19 @@ R-library for drawing charts.
 
 ## Installation
 
-Installation of **tmap** (version 4) is straightforward:
+Installation of **tmap** is straightforward:
+
+``` r
+install.packages("tmap")
+```
+
+For Linux and macOS users who are new to working with spatial data in R,
+this may fail since additional (non-R) libraries are required (which are
+automatically installed for Windows users).
+
+### Development version
+
+The development version
 
 ``` r
 # install.packages("remotes")
@@ -37,14 +49,6 @@ pak::pak("r-tmap/tmap")
 install.packages("tmap", repos = c("https://r-tmap.r-universe.dev", "https://cloud.r-project.org"))
 ```
 
-The old version of **tmap** (version 3) is available on
-[![CRAN](https://www.r-pkg.org/badges/version/tmap)](https://cran.r-project.org/package=tmap),
-but we recommend to use version 4, which will be on CRAN soon.
-
-For Linux and macOS users who are new to working with spatial data in R,
-this may fail since additional (non-R) libraries are required (which are
-automatically installed for Windows users).
-
 **Windows** No additional installation required.
 
 **Linux (Ubuntu)** See
@@ -64,9 +68,11 @@ Plot a World map of the happy planet index (HPI) per country. The object
 ``` r
 tm_shape(World) +
     tm_polygons(fill = "HPI")
+#> [tip] Consider a suitable map projection, e.g. by adding `+ tm_crs("auto")`.
+#> This message is displayed once per session.
 ```
 
-<img src="man/figures/README-unnamed-chunk-3-1.png" width="100%" />
+<img src="man/figures/README-unnamed-chunk-4-1.png" width="100%" />
 
 This map can be enhanced in several ways. For instance:
 
@@ -80,7 +86,7 @@ tm_shape(World, crs = "+proj=robin") +
                 )
 ```
 
-<img src="man/figures/README-unnamed-chunk-4-1.png" width="100%" />
+<img src="man/figures/README-unnamed-chunk-5-1.png" width="100%" />
 
 # Book chapter about tmap