Prepare for CRAN

CITATION.cff

@@ -8,7 +8,7 @@ message: 'To cite package "giscoR" in publications use:'
 type: software
 license: GPL-3.0-only
 title: 'giscoR: Download Map Data from GISCO API - Eurostat'
-version: 0.3.5.9000
+version: 0.4.0
 doi: 10.5281/zenodo.4317946
 abstract: Tools to download data from the GISCO (Geographic Information System of
   the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global
@@ -31,7 +31,7 @@ preferred-citation:
     affiliation: rOpenGov
   doi: 10.5281/zenodo.4317946
   year: '2023'
-  version: 0.3.5.9000
+  version: 0.4.0
   url: https://ropengov.github.io/giscoR/
   abstract: Tools to download data from the GISCO (Geographic Information System of
     the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: giscoR
 Title: Download Map Data from GISCO API - Eurostat
-Version: 0.3.5.9000
+Version: 0.4.0
 Authors@R: c(
     person("Diego", "Hernangómez", , "diego.hernangomezherrero@gmail.com", role = c("aut", "cre", "cph"),
            comment = c(ORCID = "0000-0001-8457-4658", affiliation = "rOpenGov")),

NEWS.md

@@ -1,4 +1,4 @@
-# giscoR (development version)
+# giscoR 0.4.0
 
 -   `gisco_get_nuts()`: Add an additional `geo` column (identical to `NUTS_ID`)
     for enhanced compatibility with **eurostat** package (#62).

R/gisco_get_healthcare.R

@@ -27,31 +27,7 @@
 #' \donttest{
 #'
 #' health_BEL <- gisco_get_healthcare(country = "Belgium")
-#' # If downloaded
-#'
-#' if (!is.null(health_BEL)) {
-#'   health_BEL[health_BEL$public_private == "", ]$public_private <- "unknown"
-#'
-#'   BEL <- gisco_get_nuts(country = "Belgium", nuts_level = 2)
-#'
-#'   library(ggplot2)
-#'
-#'   ggplot(BEL) +
-#'     geom_sf(fill = "white", color = "grey80") +
-#'     geom_sf(
-#'       data = health_BEL, aes(color = public_private),
-#'       alpha = 0.5, size = 3
-#'     ) +
-#'     theme_bw() +
-#'     labs(
-#'       title = "Healthcare in Belgium",
-#'       subtitle = "NUTS 2",
-#'       fill = "type",
-#'       caption = paste0(gisco_attributions())
-#'     ) +
-#'     scale_color_manual(name = "type", values = hcl.colors(3, "Berlin")) +
-#'     theme_minimal()
-#' }
+#' health_BEL
 #' }
 #' @export
 gisco_get_healthcare <- function(cache = TRUE,

README.md

@@ -70,9 +70,6 @@ install.packages("giscoR",
 
 ## Usage
 
-You can have a look to the documentation of the dev version in
-<https://ropengov.github.io/giscoR/dev/>
-
 This script highlights some features of `giscoR`:
 
 ``` r
@@ -338,7 +335,7 @@ A BibTeX entry for LaTeX users is
       doi = {10.5281/zenodo.4317946},
       author = {Diego Hernangómez},
       year = {2023},
-      version = {0.3.5.9000},
+      version = {0.4.0},
       url = {https://ropengov.github.io/giscoR/},
       abstract = {Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.},
     }

codemeta.json

@@ -8,7 +8,7 @@
   "codeRepository": "https://github.com/rOpenGov/giscoR",
   "issueTracker": "https://github.com/rOpenGov/giscoR/issues",
   "license": "https://spdx.org/licenses/GPL-3.0",
-  "version": "0.3.5.9000",
+  "version": "0.4.0",
   "programmingLanguage": {
     "@type": "ComputerLanguage",
     "name": "R",
@@ -216,7 +216,7 @@
   "applicationCategory": "cartography",
   "isPartOf": "http://ropengov.org/",
   "keywords": ["ropengov", "r", "spatial", "api-wrapper", "rstats", "r-package", "eurostat", "gisco", "thematic-maps", "eurostat-data", "cran", "ggplot2", "gis"],
-  "fileSize": "1421.519KB",
+  "fileSize": "1419.969KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",

inst/schemaorg.json

@@ -41,7 +41,7 @@
         "url": "https://cran.r-project.org"
       },
       "runtimePlatform": "R version 4.3.1 (2023-06-16 ucrt)",
-      "version": "0.3.5.9000"
+      "version": "0.4.0"
     },
     {
       "id": "https://doi.org/10.5281/zenodo.4317946",