Here is an example of plotting a neighborhoods network with ggplot2 using the sf and sfdep packages for counties in a U.S. state. We can display the “weights” feature of the neighborhoods network as the size of the line segments by scaling the size aesthetic with + scale_size_identity().
I present code to create the hexsticker for the sparrpowR package using the hexSticker and spatstat packages. The sparrpowR calculated the statistical power for a spatial relative risk function from the sparr package.
I present an update to my previous posts #1 and #2. This update can also be found on a public GitHub repository.
Starting May 17, 2020 the DC Mayoral Office began releasing testing information by neighborhood on their coronavirus data portal.
I present code to identify relative spatial clustering in multidimensional scaling / principal coordinate analysis (MDS/PCoA) space. I use a spatial relative risk function risk from the sparr package.
I present an update to my previous post. Starting May 17, 2020 the DC Mayoral Office began releasing testing information by neighborhood on their coronavirus data portal.
After moving to DC last year, PoPville has been a personal favorite for local scoop. A post on May 11, 2020 captured my attention. Molly Tolzmann zmotoly adjusted the daily coronavirus data publicly released by the DC Mayoral Office at the DC health planning neighborhood level by the 2018 American Community Survey (ACS) census tract data and demographic data from Open Data DC.
I present code to identify areas of a spatial segregation model that exceed our null expectations using the relrisk function in the spatstat package and an assumption of normality of the estimated probabilities.