How to create beautiful demographic maps in R?

How to create beautiful demographic maps in R?

The tidycensus package, authored by Kyle Walker, streamlines geographic and tabular data downloads while the tmap package, written by Martijn Tennekes, vastly simplifies creating maps with multiple layers, accepts many different spatial object types and makes it easy to add scale bars, north arrows and other cartographic details.

How can I make a map with R?

The maps package contains a lot of outlines of continents, countries, states, and counties that have been with R for a long time. The mapdata package contains a few more, higher-resolution outlines. The maps package comes with a plotting function, but, we will opt to use ggplot2 to plot the maps in the maps package.

How to create a census map with TMap?

Download the Census data here and create shp for use with tmap. With tmap there is not a lot of data preparation that needs to happen before mapping. With very little code you can create a simple map. The “shifted” geography we downloaded from tidycensus is a huge help.

How to make maps with your · reproducible research?

Making Maps With R · Reproducible Research. For a long time, R has had a relatively simple mechanism, via the maps package, for making simple outlines of maps and plotting lat-long points and paths on them.

How do you plot a city in Matplotlib?

#a) Plots the shape (polygon) based on the city’s coordinates and, #b) calculates and return the medium point of that specific shape (x0, y0). #This medium point is also used to define where to print the city name.

How to calculate the population of a county?

In order to calculate our estimates we’ll stack the data, separated by year, using tidyr::gather then group based on GEOID , NAME , year and our new cat field so that we have counts for total population and population without insurance for each county for each year.

What’s the best way to plot locations on a map?

Load an excel file that includes the information about the addresses you would like to map. Copy and paste your location data. Load a Google Sheet that contains the information for all the locations you would like to include. Plot addresses on map view by loading each marker individually.

What’s the best way to make a map with R?

The base R approach is also extensible, with plot () offering dozens of arguments. Another approach is the grid package which allows low level control of static maps, as illustrated in Chapter 14 of Murrell ( 2016) . This section focuses on tmap and emphasizes the important aesthetic and layout options.

Is it possible to make a static map with R?

Static mapping is straightforward with plot (), as we saw in Section 2.2.3 . It is possible to create advanced maps using base R methods (Murrell 2016), but this chapter focuses on dedicated map-making packages.

Which is the best spatial data package for R?

If you need a refresher on working with spatial data in R we recommend the following: We are currently using version 0.8.1 of tidycensus and version 2.1-1 of tmap. Below are all of the packages we will be using in this post. Before we begin mapping we’ll grab some data from the US Census using the tidycensus package.