README

The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

geofi - Access Finnish Geospatial Data

Installation and use

# install from CRAN
install.packages("geofi")

# Install development version from GitHub
remotes::install_github("ropengov/geofi")

With geofi-package you can download geospatial data on municipalities, zipcodes and population and statistical grids from Statistics Finland WFS-api. In addition, you have on-board municipality keys for aggregating municipality-level data into higher level regional distributions based Statistics Finland classification API.

Below are few examples of the data you can access using geofi. Please have a closer look at the vignettes for more comprehensive use cases.

library(geofi)
d1 <- get_municipalities(year = 2023)
d2 <- get_zipcodes(year = 2023)
d3 <- get_statistical_grid(resolution = 5)
d4 <- get_population_grid(resolution = 5)

library(ggplot2)
library(dplyr)
theme_set(
  theme_minimal(base_family = "Arial") +
  theme(legend.position= "none",
        axis.text = element_blank(),
        axis.title = element_blank(),
        panel.grid = element_blank()
        )
)
p1 <- ggplot(d1, aes(fill = kunta)) + geom_sf(colour = alpha("white", 1/3)) + labs(subtitle = "municipalities")
p2 <- ggplot(d1 %>% count(maakunta_code), aes(fill = maakunta_code)) + geom_sf(colour = alpha("white", 1/3)) + labs(subtitle = "Aggregated municipality data \nat region (maakunta) level \n(one of many!)")
p3 <- ggplot(d2, aes(fill = as.integer(posti_alue))) + geom_sf(colour = alpha("white", 1/3)) + labs(subtitle = "zipcodes")
p4 <- ggplot(d3, aes(fill = nro)) + geom_sf(colour = alpha("white", 1/3)) + labs(subtitle = "statistical grid")
p5 <- ggplot(d4, aes(fill = id_nro)) + geom_sf(colour = alpha("white", 1/3)) + labs(subtitle = "population grid")
p6 <- ggplot(municipality_central_localities, aes(color = as.integer(kuntatunnus))) + geom_sf() + labs(subtitle = "Central municipality localities")

library(patchwork)
wrap_plots(list(p1,p2,p3,p4,p5,p6), ncol = 3) + 
  patchwork::plot_annotation(title = "Spatial data in geofi-package")

Contribute

Acknowledgements

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.