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Fix #81
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dieghernan committed Mar 24, 2024
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4 changes: 2 additions & 2 deletions CITATION.cff
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Expand Up @@ -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: 0.4.1
version: 0.4.1.9000
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
Expand All @@ -31,7 +31,7 @@ preferred-citation:
affiliation: rOpenGov
doi: 10.5281/zenodo.4317946
year: '2024'
version: 0.4.1
version: 0.4.1.9000
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
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2 changes: 1 addition & 1 deletion DESCRIPTION
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@@ -1,7 +1,7 @@
Type: Package
Package: giscoR
Title: Download Map Data from GISCO API - Eurostat
Version: 0.4.1
Version: 0.4.1.9000
Authors@R: c(
person("Diego", "Hernangómez", , "diego.hernangomezherrero@gmail.com", role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0001-8457-4658", affiliation = "rOpenGov")),
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4 changes: 4 additions & 0 deletions NEWS.md
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@@ -1,3 +1,7 @@
# giscoR (development version)

- Update of docs to avoid warnings on **CRAN** (#81).

# giscoR 0.4.1

- Improve documentation, stating where the parameters `country` and `region`
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2 changes: 1 addition & 1 deletion R/data.R
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Expand Up @@ -243,7 +243,7 @@ NULL
#' @source [countrycode::codelist] **v1.2.0**.
#'
#' @seealso [gisco_get_countries()],
#' [countrycode::codelist], [countrycode::countrycode-package]
#' [countrycode::codelist], \CRANpkg{countrycode} package.
#'
#' See also the
#' ```{r, echo=FALSE, results='asis'}
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5 changes: 4 additions & 1 deletion README.md
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Expand Up @@ -68,6 +68,9 @@ 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
Expand Down Expand Up @@ -320,7 +323,7 @@ A BibTeX entry for LaTeX users is
doi = {10.5281/zenodo.4317946},
author = {Diego Hernangómez},
year = {2024},
version = {0.4.1},
version = {0.4.1.9000},
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.},
}
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4 changes: 2 additions & 2 deletions codemeta.json
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Expand Up @@ -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": "0.4.1",
"version": "0.4.1.9000",
"programmingLanguage": {
"@type": "ComputerLanguage",
"name": "R",
Expand Down Expand Up @@ -228,7 +228,7 @@
"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": "1181.293KB",
"fileSize": "1181.376KB",
"citation": [
{
"@type": "SoftwareSourceCode",
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2 changes: 1 addition & 1 deletion inst/schemaorg.json
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Expand Up @@ -41,7 +41,7 @@
"url": "https://cran.r-project.org"
},
"runtimePlatform": "R version 4.3.3 (2024-02-29 ucrt)",
"version": "0.4.1"
"version": "0.4.1.9000"
},
{
"id": "https://doi.org/10.5281/zenodo.4317946",
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2 changes: 1 addition & 1 deletion man/gisco_countrycode.Rd

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2 changes: 1 addition & 1 deletion vignettes/giscoR.Rmd
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Expand Up @@ -169,7 +169,7 @@ eu_bord <- borders %>%
# Eurostat data - Disposable income
pps <- get_eurostat("tgs00026") %>%
filter(TIME_PERIOD == "2021-01-01")
#> [1mindexed[0m [32m0B[0m in [36m 0s[0m, [32m0B/s[0m[1mindexed[0m [32m2.15GB[0m in [36m 0s[0m, [32m2.15GB/s[0m
#> [1mindexed[0m [32m0B[0m in [36m 0s[0m, [32m0B/s[0m[1mindexed[0m [32m2.15GB[0m in [36m 0s[0m, [32m2.15GB/s[0m

nuts2_sf <- nuts2 %>%
left_join(pps, by = "geo") %>%
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