| Title: | Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas |
| Description: | Provides a ggplot2 front end to plot summary statistics on danish provinces, regions, municipalities, and zipcodes. The needed geoms of each of the four levels are inherent in the package, thus making these types of plots easy for the user. This is essentially an updated port of the previously available 'mapDK' package by Sebastian Barfort. |
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0) |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.1 |
| Imports: | dplyr, ggplot2 (≥ 3.1.0), mapproj, plotly, purrr, rlang |
| Suggests: | testthat |
| NeedsCompilation: | no |
| Packaged: | 2021-09-30 12:43:23 UTC; W20201 |
| Author: | Kristian Stendorff Nielsen [aut, cre] |
| Maintainer: | Kristian Stendorff Nielsen <krisdorff@hotmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2021-10-01 08:00:02 UTC |
Create Plot Data
Description
If data is provided, this functions attempts to merge the provided data with the geom-data inherent in the package on the chosen plotlevel. If no data is provided, only the geom-data for the chosen plotlevel is returned. This data is used to create the DK-plot.
Usage
create_plot_data(data, id, plotlevel, show_missing = FALSE, ...)
Arguments
data |
A |
id |
A For municipalities these variables can be either;
For regions these variables can either;
For provinces these variables can be either;
For zip-codes these variables can be;
|
plotlevel |
|
show_missing |
|
... |
Further arguments to pass to merge_data |
Value
A data.frame with either raw geom-data or geom-data merged with any data provided.
Municipality data with keys and polygon-geoms for municipalities of Denmark
Description
Municipality data with keys and polygon-geoms for municipalities of Denmark
Usage
municipality
Format
A data frame with 39,230 rows and 7 columns:
- long
Longitude coordinates.
- lat
Latitude coordinates.
- order
Order of coordinates in geoms.
- group
Geom groups.
- id
Name of entity.
- id_numeric
Number of entity.
- hole
Indication of a geom hole.
Source
Statistics Denmark
Information of Valid Municipality Names and Numbers
Description
Information of Valid Municipality Names and Numbers
Usage
municipality_info
Format
A data frame with 99 rows and 2 columns:
- municipality_names
Valid names of municipalities.
- municipality_numbers
Valid numbers of municipalities.
Source
Statistics Denmark
Generate choropleth maps of Danish Municipalities, Regions, Provinces and Zip-areas
Description
Draws a map that highligths any value of interest across either danish municipalities, regions, provinces or zip-codes. This is essentially a ggplot2-wrapper incorporating geoms of danish municipalities, regions, provinces and zipcodes. Therefore the output is compatible with further ggplot2 elements.
Usage
plotDK(
data = NULL,
id = NULL,
value = NULL,
plotlevel = "municipality",
show_missing = FALSE,
show_borders = TRUE,
interactive = FALSE,
titel = NULL
)
Arguments
data |
A |
id |
A For municipalities these variables can be either;
For regions these variables can either;
For provinces these variables can be either;
For zip-codes these variables can be;
|
value |
|
plotlevel |
|
show_missing |
|
show_borders |
|
interactive |
|
titel |
|
Value
A ggplot object.
Examples
## Empty plot
plotDK()
province_data <- data.frame(
province_name = c(
"nordjylland",
"østjylland",
"vestjylland",
"fyn",
"sydjylland",
"vest-ogsydsjælland",
"østsjælland",
"københavnsomegn",
"byenkøbenhavn",
"bornholm",
"nordsjælland"
),
value = 1:11,
stringsAsFactors = FALSE
)
Province data with keys and polygon-geoms for provinces of Denmark
Description
Province data with keys and polygon-geoms for provinces of Denmark
Usage
province
Format
A data frame with 4,083 rows og 7 columns:
- long
Longitude coordinates.
- lat
Latitude coordinates.
- order
Order of coordinates in geoms.
- group
Geom groups.
- id
Name of entity.
- id_numeric
Number of entity.
- hole
Indication of a geom hole.
@source Statistics Denmark
Information of Valid Province Names and Numbers
Description
Information of Valid Province Names and Numbers
Usage
province_info
Format
A data frame with 11 rows and 2 columns:
- province_names
Valid names of provinces.
- province_numbers
Valid numbers of provinces.
Source
Statistics Denmark
Region data with keys and polygon-geoms for regions of Denmark
Description
Region data with keys and polygon-geoms for regions of Denmark
Usage
region
Format
A data frame with 32,522 rows and 7 columns:
- long
Longitude coordinates.
- lat
Latitude coordinates.
- order
Order of coordinates in geoms.
- group
Geom groups.
- id
Name of entity.
- id_numeric
Number of entity.
- hole
Indication of a geom hole.
Source
Statistics Denmark
Information of Valid Region Names and Numbers
Description
Information of Valid Region Names and Numbers
Usage
region_info
Format
A data frame with 5 observations and 2 columns:
- region_names
Valid names of regions.
- region_numbers
Valid numbers of regions.
Source
Statistics Denmark
Information of Valid Zipcodes
Description
Information of Valid Zipcodes
Usage
zipcode_info
Format
A data frame with 598 rows and 1 column:
- zipcode_numbers
Valid numbers of zipcodes.
Source
Statistics Denmark
Zipcode data with keys and polygon-geoms for zipcodes of Denmark
Description
Zipcode data with keys and polygon-geoms for zipcodes of Denmark
Usage
zipcodes
Format
A data frame with 49,322 rows and 7 columns:
- long
Longitude coordinates.
- lat
Latitude coordinates.
- order
Order of coordinates in geoms.
- group
Geom groups.
- id
Name of entity.
- id_numeric
Number of entity.
- hole
Indication of a geom hole.
Source
Statistics Denmark