Update docs with pkgdev

CITATION.cff

@@ -27,7 +27,7 @@ preferred-citation:
     email: diego.hernangomezherrero@gmail.com
     orcid: https://orcid.org/0000-0001-8457-4658
   doi: 10.5281/zenodo.6572471
-  year: '2022'
+  year: '2023'
   version: 0.3.1
   url: https://dieghernan.github.io/tidyterra/
   abstract: Extension of the tidyverse for SpatRaster and SpatVector objects of the
@@ -61,7 +61,7 @@ references:
   - name: R Core Team
   location:
     name: Vienna, Austria
-  year: '2022'
+  year: '2023'
   institution:
     name: R Foundation for Statistical Computing
   version: '>= 3.6.0'
@@ -75,7 +75,7 @@ references:
   - family-names: Csárdi
     given-names: Gábor
     email: csardi.gabor@gmail.com
-  year: '2022'
+  year: '2023'
   version: '>= 3.0.0'
 - type: software
   title: crayon
@@ -87,7 +87,7 @@ references:
   - family-names: Csárdi
     given-names: Gábor
     email: csardi.gabor@gmail.com
-  year: '2022'
+  year: '2023'
 - type: software
   title: data.table
   abstract: 'data.table: Extension of `data.frame`'
@@ -101,7 +101,7 @@ references:
   - family-names: Srinivasan
     given-names: Arun
     email: asrini@pm.me
-  year: '2022'
+  year: '2023'
 - type: software
   title: dplyr
   abstract: 'dplyr: A Grammar of Data Manipulation'
@@ -121,7 +121,7 @@ references:
   - family-names: Müller
     given-names: Kirill
     orcid: https://orcid.org/0000-0002-1416-3412
-  year: '2022'
+  year: '2023'
   version: '>= 1.0.0'
 - type: software
   title: ggplot2
@@ -157,7 +157,7 @@ references:
   - family-names: Dunnington
     given-names: Dewey
     orcid: https://orcid.org/0000-0002-9415-4582
-  year: '2022'
+  year: '2023'
   version: '>= 3.1.0'
 - type: software
   title: magrittr
@@ -172,7 +172,7 @@ references:
   - family-names: Wickham
     given-names: Hadley
     email: hadley@rstudio.com
-  year: '2022'
+  year: '2023'
 - type: software
   title: rlang
   abstract: 'rlang: Functions for Base Types and Core R and ''Tidyverse'' Features'
@@ -186,7 +186,7 @@ references:
   - family-names: Wickham
     given-names: Hadley
     email: hadley@rstudio.com
-  year: '2022'
+  year: '2023'
 - type: software
   title: scales
   abstract: 'scales: Scale Functions for Visualization'
@@ -199,7 +199,7 @@ references:
     email: hadley@rstudio.com
   - family-names: Seidel
     given-names: Dana
-  year: '2022'
+  year: '2023'
 - type: software
   title: sf
   abstract: 'sf: Simple Features for R'
@@ -211,7 +211,7 @@ references:
     given-names: Edzer
     email: edzer.pebesma@uni-muenster.de
     orcid: https://orcid.org/0000-0001-8049-7069
-  year: '2022'
+  year: '2023'
   version: '>= 1.0.0'
 - type: software
   title: terra
@@ -224,7 +224,7 @@ references:
     given-names: Robert J.
     email: r.hijmans@gmail.com
     orcid: https://orcid.org/0000-0001-5872-2872
-  year: '2022'
+  year: '2023'
   version: '>= 1.5-12'
 - type: software
   title: tibble
@@ -239,7 +239,7 @@ references:
   - family-names: Wickham
     given-names: Hadley
     email: hadley@rstudio.com
-  year: '2022'
+  year: '2023'
   version: '>= 3.0.0'
 - type: software
   title: tidyr
@@ -253,7 +253,7 @@ references:
     email: hadley@rstudio.com
   - family-names: Girlich
     given-names: Maximilian
-  year: '2022'
+  year: '2023'
   version: '>= 1.0.0'
 - type: software
   title: isoband
@@ -275,7 +275,7 @@ references:
     given-names: Thomas Lin
     email: thomasp85@gmail.com
     orcid: https://orcid.org/0000-0002-5147-4711
-  year: '2022'
+  year: '2023'
 - type: software
   title: knitr
   abstract: 'knitr: A General-Purpose Package for Dynamic Report Generation in R'
@@ -287,7 +287,7 @@ references:
     given-names: Yihui
     email: xie@yihui.name
     orcid: https://orcid.org/0000-0003-0645-5666
-  year: '2022'
+  year: '2023'
 - type: software
   title: lifecycle
   abstract: 'lifecycle: Manage the Life Cycle of your Package Functions'
@@ -302,7 +302,7 @@ references:
     given-names: Hadley
     email: hadley@rstudio.com
     orcid: https://orcid.org/0000-0003-4757-117X
-  year: '2022'
+  year: '2023'
 - type: software
   title: maptiles
   abstract: 'maptiles: Download and Display Map Tiles'
@@ -314,7 +314,7 @@ references:
     given-names: Timothée
     email: timothee.giraud@cnrs.fr
     orcid: https://orcid.org/0000-0002-1932-3323
-  year: '2022'
+  year: '2023'
 - type: software
   title: rmarkdown
   abstract: 'rmarkdown: Dynamic Documents for R'
@@ -354,7 +354,7 @@ references:
     given-names: Richard
     email: rich@rstudio.com
     orcid: https://orcid.org/0000-0003-3925-190X
-  year: '2022'
+  year: '2023'
 - type: software
   title: s2
   abstract: 's2: Spherical Geometry Operators Using the S2 Geometry Library'
@@ -373,7 +373,7 @@ references:
   - family-names: Rubak
     given-names: Ege
     email: rubak@math.aau.dk
-  year: '2022'
+  year: '2023'
 - type: software
   title: testthat
   abstract: 'testthat: Unit Testing for R'
@@ -384,7 +384,7 @@ references:
   - family-names: Wickham
     given-names: Hadley
     email: hadley@rstudio.com
-  year: '2022'
+  year: '2023'
   version: '>= 3.0.0'
 - type: software
   title: tidyverse
@@ -396,7 +396,7 @@ references:
   - family-names: Wickham
     given-names: Hadley
     email: hadley@rstudio.com
-  year: '2022'
+  year: '2023'
 - type: software
   title: vdiffr
   abstract: 'vdiffr: Visual Regression Testing and Graphical Diffing'
@@ -420,4 +420,4 @@ references:
   - family-names: Lise
     given-names: Vaudor
     email: lise.vaudor@ens-lyon.fr
-  year: '2022'
+  year: '2023'

README.Rmd

@@ -117,7 +117,6 @@ install.packages("tidyterra")
 You can install the development version of {tidyterra} like so:
 
 ```{r, eval=FALSE }
-
 remotes::install_github("dieghernan/tidyterra")
 ```
 
@@ -195,7 +194,6 @@ ggplot(prov) +
 {tidyterra} also provide a geom for plotting RGB SpatRaster tiles with {ggplot2}
 
 ```{r example-tile}
-
 f_tile <- system.file("extdata/cyl_tile.tif", package = "tidyterra")
 
 rgb_tile <- rast(f_tile)
@@ -219,7 +217,6 @@ plot +
 {ggplot2}:
 
 ```{r hypso}
-
 asia <- rast(system.file("extdata/asia.tif", package = "tidyterra"))
 
 terra::plot(asia)

README.md

@@ -100,7 +100,6 @@ install.packages("tidyterra")
 You can install the development version of {tidyterra} like so:
 
 ``` r
-
 remotes::install_github("dieghernan/tidyterra")
 ```
 
@@ -186,7 +185,6 @@ ggplot(prov) +
 {ggplot2}
 
 ``` r
-
 f_tile <- system.file("extdata/cyl_tile.tif", package = "tidyterra")
 
 rgb_tile <- rast(f_tile)
@@ -217,7 +215,6 @@ plot +
 {ggplot2}:
 
 ``` r
-
 asia <- rast(system.file("extdata/asia.tif", package = "tidyterra"))
 
 terra::plot(asia)
@@ -264,7 +261,7 @@ open a new [issue](https://github.com/dieghernan/tidyterra/issues)!
 
 To cite ‘tidyterra’ in publications use:
 
-Hernangomez D (2022). tidyterra: tidyverse Methods and ggplot2 Helpers
+Hernangomez D (2023). tidyterra: tidyverse Methods and ggplot2 Helpers
 for terra Objects. <https://doi.org/10.5281/zenodo.6572471>,
 <https://dieghernan.github.io/tidyterra/>
 
@@ -274,7 +271,7 @@ A BibTeX entry for LaTeX users is
       title = {{tidyterra}: tidyverse Methods and ggplot2 Helpers for terra Objects},
       doi = {10.5281/zenodo.6572471},
       author = {Diego Hernangómez},
-      year = {2022},
+      year = {2023},
       version = {0.3.1},
       url = {https://dieghernan.github.io/tidyterra/},
       abstract = {Extension of the tidyverse for SpatRaster and SpatVector objects of the terra package. It includes also new geom_ functions that provide a convenient way of visualizing terra objects with ggplot2.},

codemeta.json

@@ -331,11 +331,11 @@
     },
     "SystemRequirements": null
   },
-  "fileSize": "2901.504KB",
+  "fileSize": "2901.498KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",
-      "datePublished": "2022",
+      "datePublished": "2023",
       "author": [
         {
           "@type": "Person",

vignettes/articles/faqs.Rmd

@@ -25,7 +25,6 @@ and the potential solutions to it (mostly related with the use of **terra** and
 the following links.
 
 ```{r issues, echo=FALSE, results='asis'}
-
 link <- unlist(packageDescription("tidyterra")["BugReports"])
 cat("\n- Issues: ", link)
 dis <- gsub("issues$", "discussions", link)
@@ -40,7 +39,6 @@ color scales (i.e., `scale_fill_whitebox_c()`, etc.), has by default the
 parameter `na.value` set to `NA`, that prevents NA values to be plotted.
 
 ```{r remove-nas}
-
 library(terra)
 library(tidyterra)
 library(ggplot2)
@@ -194,7 +192,6 @@ resampling and force the **ggplot2** map to be on **EPSG:3857** with
 `ggplot2::coord_sf(crs = 3857)`:
 
 ```{r blurry-tile}
-
 library(terra)
 library(tidyterra)
 library(ggplot2)
@@ -246,7 +243,6 @@ Again, this is the **ggplot2** default, but can be modified with
 `ggplot2::coord_sf(datum)` argument:
 
 ```{r modify-datum}
-
 library(terra)
 library(tidyterra)
 library(ggplot2)
@@ -283,7 +279,6 @@ The best option is to pass your custom breaks to `ggplot2::scale_x_continous()`
 or `ggplot2::scale_y_continous()`:
 
 ```{r breaks}
-
 library(terra)
 library(tidyterra)
 library(ggplot2)

vignettes/articles/palettes.Rmd

@@ -28,7 +28,6 @@ This page shows a gallery of maps that can be displayed with the gradient fill
 scales included with **tidyterra**. A basic code to generate this map is:
 
 ```{r, eval=FALSE}
-
 library(tidyterra)
 library(terra)
 library(ggplot2)
@@ -47,7 +46,6 @@ ggplot() +
 Check `scale_fill_terrain_c()` and `scale_fill_wiki_c()` for more info.
 
 ```{r terr_wiki, echo=FALSE}
-
 r <- terra::rast(system.file("extdata/volcano2.tif",
   package = "tidyterra"
 ))
@@ -78,7 +76,6 @@ print(ss)
 Check `scale_fill_whitebox_c()` for more info.
 
 ```{r whitebox, echo=FALSE}
-
 allpals <- sort(c(
   "atlas", "high_relief", "arid", "soft", "muted", "purple",
   "viridi", "gn_yl", "pi_y_g", "bl_yl_rd", "deep"
@@ -100,7 +97,6 @@ for (i in allpals) {
 Check `scale_fill_hypso_c()` for more info.
 
 ```{r hypso, echo=FALSE}
-
 allpals <- sort(unique(hypsometric_tints_db$pal))
 
 for (i in allpals) {
@@ -118,7 +114,6 @@ for (i in allpals) {
 Check `scale_fill_cross_blended_c()` for more info.
 
 ```{r cross, echo=FALSE}
-
 allpals <- sort(unique(cross_blended_hypsometric_tints_db$pal))
 
 for (i in allpals) {

vignettes/tidyterra.Rmd

@@ -147,7 +147,6 @@ to other spatial layers:
 
 
 ```r
-
 library(ggplot2)
 
 # A faceted SpatRaster
@@ -198,7 +197,6 @@ With {tidyterra} you can also plot RGB SpatRasters to add imagery to your plots:
 
 
 ```r
-
 # Read a vector
 
 f_v <- system.file("extdata/cyl.gpkg", package = "tidyterra")
@@ -232,7 +230,6 @@ and bathymetric maps:
 
 
 ```r
-
 asia <- rast(system.file("extdata/asia.tif", package = "tidyterra"))
 
 asia