Sweden map data set with township included, compressed version

Sweden map data set with township included, compressed version

swe_kommuner

Format

A data frame with 11488 rows and 9 variables. This is a filtered version of swe_kommuner_allpoints where all points with piece equal to "3" or larger are removed (small details) and only every thirtieth point being used (see examples).

long

longitude, numeric

lat

latitude, numeric

order

specifies the order for each point, integer

piece

"1" for the most essential, "2" and more for detailed points, factor

group

Each region or island in the map is a polygon where each level in this variable is a polygon, factor

ID_1

id of county, integer

NAME_1

name of county, character

ID_2

id of township, integer

NAME_2

name of township, character

Examples

# How the data set was created

swe_example <- dplyr::filter(swe_kommuner_allpoints,
  piece %in% c("1", "2")) %>%
  dplyr::filter(order %% 30 == 1) %>%
  droplevels()

# Example on how to make map of Sweden using ggplot2.
# Note that coord_map() is essential for the map to be in actual scale.

ggplot2::ggplot(data = swe_kommuner, ggplot2::aes(x=long, y=lat, group = group)) +
  ggplot2::geom_polygon(color = "white", size = 0, fill = "blue")  +
  ggplot2::coord_map() +
  ggplot2::theme_minimal()