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CITATION.cff

@@ -74,6 +74,7 @@ references:
     given-names: Gábor
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=cli
   version: '>= 3.0.0'
 - type: software
   title: crayon
@@ -84,7 +85,7 @@ references:
     given-names: Gábor
     email: [email protected]
   year: '2022'
-  url: https://github.com/r-lib/crayon#readme
+  url: https://CRAN.R-project.org/package=crayon
 - type: software
   title: data.table
   abstract: 'data.table: Extension of `data.frame`'
@@ -97,6 +98,7 @@ references:
     given-names: Arun
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=data.table
 - type: software
   title: dplyr
   abstract: 'dplyr: A Grammar of Data Manipulation'
@@ -115,6 +117,7 @@ references:
     given-names: Kirill
     orcid: https://orcid.org/0000-0002-1416-3412
   year: '2022'
+  url: https://CRAN.R-project.org/package=dplyr
   version: '>= 1.0.0'
 - type: software
   title: ggplot2
@@ -149,6 +152,7 @@ references:
     given-names: Dewey
     orcid: https://orcid.org/0000-0002-9415-4582
   year: '2022'
+  url: https://CRAN.R-project.org/package=ggplot2
   version: '>= 3.1.0'
 - type: software
   title: magrittr
@@ -162,6 +166,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=magrittr
 - type: software
   title: rlang
   abstract: 'rlang: Functions for Base Types and Core R and ''Tidyverse'' Features'
@@ -174,6 +179,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=rlang
 - type: software
   title: scales
   abstract: 'scales: Scale Functions for Visualization'
@@ -185,6 +191,7 @@ references:
   - family-names: Seidel
     given-names: Dana
   year: '2022'
+  url: https://CRAN.R-project.org/package=scales
 - type: software
   title: sf
   abstract: 'sf: Simple Features for R'
@@ -195,6 +202,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0001-8049-7069
   year: '2022'
+  url: https://CRAN.R-project.org/package=sf
   version: '>= 1.0.0'
 - type: software
   title: terra
@@ -206,7 +214,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0001-5872-2872
   year: '2022'
-  url: https://rspatial.org/terra/
+  url: https://CRAN.R-project.org/package=terra
   version: '>= 1.5-12'
 - type: software
   title: tibble
@@ -220,6 +228,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=tibble
   version: '>= 3.0.0'
 - type: software
   title: tidyr
@@ -232,6 +241,7 @@ references:
   - family-names: Girlich
     given-names: Maximilian
   year: '2022'
+  url: https://CRAN.R-project.org/package=tidyr
   version: '>= 1.0.0'
 - type: software
   title: isoband
@@ -248,7 +258,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0002-5147-4711
   year: '2022'
-  url: https://wilkelab.org/isoband/
+  url: https://CRAN.R-project.org/package=isoband
 - type: software
   title: knitr
   abstract: 'knitr: A General-Purpose Package for Dynamic Report Generation in R'
@@ -259,7 +269,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-0645-5666
   year: '2022'
-  url: https://yihui.org/knitr/
+  url: https://CRAN.R-project.org/package=knitr
 - type: software
   title: lifecycle
   abstract: 'lifecycle: Manage the Life Cycle of your Package Functions'
@@ -273,6 +283,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-4757-117X
   year: '2022'
+  url: https://CRAN.R-project.org/package=lifecycle
 - type: software
   title: maptiles
   abstract: 'maptiles: Download and Display Map Tiles'
@@ -283,7 +294,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0002-1932-3323
   year: '2022'
-  url: https://github.com/riatelab/maptiles/
+  url: https://CRAN.R-project.org/package=maptiles
 - type: software
   title: rmarkdown
   abstract: 'rmarkdown: Dynamic Documents for R'
@@ -322,6 +333,7 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0003-3925-190X
   year: '2022'
+  url: https://CRAN.R-project.org/package=rmarkdown
 - type: software
   title: s2
   abstract: 's2: Spherical Geometry Operators Using the S2 Geometry Library'
@@ -339,6 +351,7 @@ references:
     given-names: Ege
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=s2
 - type: software
   title: testthat
   abstract: 'testthat: Unit Testing for R'
@@ -348,6 +361,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=testthat
   version: '>= 3.0.0'
 - type: software
   title: tidyverse
@@ -358,6 +372,7 @@ references:
     given-names: Hadley
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=tidyverse
 - type: software
   title: vdiffr
   abstract: 'vdiffr: Visual Regression Testing and Graphical Diffing'
@@ -380,3 +395,4 @@ references:
     given-names: Vaudor
     email: [email protected]
   year: '2022'
+  url: https://CRAN.R-project.org/package=vdiffr

README.md

@@ -32,18 +32,18 @@ objects with [{ggplot2}](https://ggplot2.tidyverse.org/).
 {tidyverse} methods implemented on {tidyterra} works differently
 depending on the type of Spat\* object:
 
-- SpatVector: the methods are implemented taking advantage of the
-  tidyverse implementation on {sf}. The SpatVector object is converted
-  first to sf via `sf::st_as_sf()`, then the method (or function) is
-  applied and finally the object is converted back to SpatVector with
-  `terra::vect()`. Hence, rows correspond to geometries and columns
-  correspond to attributes of the geometry.
-
-- SpatRaster: The implementation on SpatRaster objects differs, since
-  the methods could be applied to layers or to cells. {tidyterra}
-  overall approach is to treat the layers as columns of a tibble and the
-  cells as rows (i.e. `select(SpatRaster, 1)` would select the first
-  layer of a SpatRaster).
+-   SpatVector: the methods are implemented taking advantage of the
+    tidyverse implementation on {sf}. The SpatVector object is converted
+    first to sf via `sf::st_as_sf()`, then the method (or function) is
+    applied and finally the object is converted back to SpatVector with
+    `terra::vect()`. Hence, rows correspond to geometries and columns
+    correspond to attributes of the geometry.
+
+-   SpatRaster: The implementation on SpatRaster objects differs, since
+    the methods could be applied to layers or to cells. {tidyterra}
+    overall approach is to treat the layers as columns of a tibble and
+    the cells as rows (i.e. `select(SpatRaster, 1)` would select the
+    first layer of a SpatRaster).
 
 The methods implemented return the same type of object used as input,
 unless the expected behavior of the method is to return another type of
@@ -100,7 +100,6 @@ install.packages("tidyterra")
 You can install the development version of {tidyterra} like so:
 
 ``` r
-
 remotes::install_github("dieghernan/tidyterra")
 ```
 
@@ -150,7 +149,6 @@ ggplot() +
 
 ``` r
 
-
 # Create maximum differences
 
 variation <- rastertemp %>%
@@ -186,7 +184,6 @@ ggplot(prov) +
 {ggplot2}
 
 ``` r
-
 f_tile <- system.file("extdata/cyl_tile.tif", package = "tidyterra")
 
 rgb_tile <- rast(f_tile)
@@ -204,7 +201,6 @@ plot
 <img src="https://raw.githubusercontent.com/dieghernan/tidyterra/main/img/README-example-tile-1.png" width="100%" />
 
 ``` r
-
 # Recognizes coord_sf()
 plot +
   # Change crs and datum (for relabeling graticules)
@@ -217,7 +213,6 @@ plot +
 {ggplot2}:
 
 ``` r
-
 asia <- rast(system.file("extdata/asia.tif", package = "tidyterra"))
 
 terra::plot(asia)
@@ -226,7 +221,6 @@ terra::plot(asia)
 <img src="https://raw.githubusercontent.com/dieghernan/tidyterra/main/img/README-hypso-1.png" width="100%" />
 
 ``` r
-
 ggplot() +
   geom_spatraster(data = asia) +
   scale_fill_hypso_tint_c(

codemeta.json

@@ -331,7 +331,7 @@
     },
     "SystemRequirements": null
   },
-  "fileSize": "2553.946KB",
+  "fileSize": "2552.194KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",