#3d us population density map how to#
#3d us population density map install#

I spent a bit of time googling what the official definition of the DC Metropolitan area is, but in the end I decided to limit it to the counties and cities that Metrorail runs through. To focus in on the DC metropolitan area, we'll need to filter for DC and the counties around it. # install.packages('sf')ĭf_pop_st <- st_read(gunzip(destination_file, remove=FALSE, skip=TRUE))Ĭolnames(df_pop_st) <- tolower(colnames(df_pop_st)) # this is just personal preference The file is compressed using gzip, so we'll need to unzip the file before we can extract the data we want. You could navigate to the website and hit download, or you can download the data directly using R: url <- ''ĭestination_file <- 'kontur_population_US_'ĭownload.file(url, destination_file, 'curl') Data is available by country, for this we'll download data for the U.S. Kontur.io is kind enough to provide population density data. Remotes::install_github('') Making the Mapįirst we'll need to download the data. This meant the flow for installing my R packages was something like install.packages('tidyverse') The other R packages depend on a lot of open source tools for geospatial analysis, all of which need to be installed at both the OS level and in R.

#3d us population density map install#

I started off by installing R and Rstudio, which was easy thankfully: sudo dnf install -y R rstudio-desktop I'm using Fedora these days and sadly getting everything setup was a bit of a hassle. You can find Spencer's git repo with the code from the video on Github, and the video tutorial below: The Setup I wanted to try my hand at making it myself, and I thought it would be nice to have instructions in written form if anyone is interested.

#3d us population density map how to#

While 3D map datavizzes like these can be more of a flashy piece of art than a helpful graphic if you're not careful, I still immediately wanted to know how to make one of these maps myself.īefore jumping in here, I want to give full credit to Spencer Schien for the live-coding tutorial that I based this post on. The reason I saw the post though was that someone was pointing out how many of Canada's dense cities are in a straight line and would be perfect for high-speed rail.