miscl

data_prep/R/support_fun.R

@@ -84,7 +84,7 @@ add_state_info <- function(temp_sf, column){
                                                             code_state== 28, "Sergipe",
                                                             code_state== 29, "Bahia",
                                                             code_state== 31, "Minas Gerais",
-                                                            code_state== 32, "Espirito Santo",
+                                                            code_state== 32, "Esp\u00edrito Santo",
                                                             code_state== 33, "Rio de Janeiro",
                                                             code_state== 35, "S\u00e3o Paulo",
                                                             code_state== 41, "Paran\u00e1",

r-package/DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: geobr
 Title: Download Official Spatial Data Sets of Brazil
-Version: 1.8.109999
+Version: 1.8.999
 Authors@R: c(person(given="Rafael H. M.", family="Pereira", email="[email protected]", role=c("aut", "cre"), comment = c(ORCID = "0000-0003-2125-7465")),
             person(given="Caio Nogueira", family="Goncalves", role=c("aut")),
             person(given="Paulo Henrique Fernandes de", family="Araujo", role=c("ctb")),

r-package/NEWS.md

@@ -1,3 +1,13 @@
+# geobr v1.8.999 dev 
+
+**CRAN request**
+- Fixed issue to nake sure geobr uses suggested packages conditionally
+
+**Minor changes**
+- Fixed non-ASCII characters in data `geobr::grid_state_correspondence_table()`
+
+
+
 # geobr v1.8.1
 
 **CRAN request**

r-package/R/read_comparable_areas.R

@@ -5,8 +5,8 @@
 #' municipalities, known in Portuguese as 'Areas minimas comparaveis (AMCs)'.
 #' The data is available for any combination of census years between 1872-2010.
 #' These data sets are generated based on the Stata code originally developed by
-#' \doi{10.1590/0101-416147182phe}{Philipp Ehrl}, and translated
-#' into `R` by the `geobr` team.
+#' Ehrl (2017) \doi{10.1590/0101-416147182phe}, and translated into `R` by the
+#' `geobr` team.
 #'
 #' @param start_year Numeric. Start year to the period in the YYYY format.
 #'        Defaults TO `1970`.

r-package/tests/tests_rafa/test_rafa.R

@@ -78,7 +78,7 @@ system.time( ct4 <-  st_read_parquet("ct_sf.parquet") )
 ### convert to ASCII characters  -------------------------
 
 
-gtools::ASCIIfy('Belém')
+gtools::ASCIIfy('Espírito Santo')
 gtools::ASCIIfy('São Paulo')
 gtools::ASCIIfy('Rondônia')