swe: Sweden map data set, compressed version

In swehip/shprplotfun: R functions for SHPR annual report

Sweden map data set, compressed version

Description

A dataset used to create elegant figures of Sweden with ggplot2.

Usage

swe

Format

A data frame with 6564 rows and 5 variables. This is a filtered version of swe_allpoints where all points with piece equal to "6" or larger are removed (small islands) 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" if point belongs to mainland,

"2" if point belongs to Gotland (largest island in Sweden),

"3" if point belongs to Öland,

"4" if point belongs to Orust or Tjörn,

"5" if point belongs to Fårö

group

Each region in the map is a polygon where

"1.1" if point belongs to mainland,

"1.2" if point belongs to Gotland (largest island in Sweden),

"1.3" if point belongs to Öland,

"1.4" if point belongs to Orust or Tjörn,

"1.5" if point belongs to Fårö

Examples

# How the data set was created

swe_example <- dplyr::filter(swe_allpoints,
piece %in% c("1", "2", "3", "4", "5")) %>%
  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, ggplot2::aes(x=long, y=lat, group = group)) +
  ggplot2::geom_polygon(color = "transparent", fill = "blue")  +
  ggplot2::coord_map() +
  ggplot2::theme_minimal()

swehip/shprplotfun documentation built on Oct. 21, 2022, 8:26 a.m.