R

My fourth R package is published in the Comprehensive R Archive Network named ndi. It computes various geospatial neighborhood deprivation indices (NDI) and other metrics of social vulnerability in the United States.

Here is an example of plotting a neighborhoods network with ggplot2 using the sf and sfdep packages for counties in a U.S. state.

My third R package is published in the Comprehensive R Archive Network named envi. It estimates the ecological niche using presence/absence data and the spatial relative risk function via the sparr package. See the public Github repository for more details.

My second R package is published in the Comprehensive R Archive Network named gateR. It estimates clustering of cytometry cells using markers and the spatial relative risk function via the sparr package. See the public Github repository for more details.

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.

My first R package is in the Comprehensive R Archive Network named sparrpowR. It provides a statistical power calculation for the spatial relative risk function via the sparr package. See the public Github repository for more details. The featured image comes from the package vignette.

I present an update to my previous posts #1 and #2. This update can also be found on a public GitHub repository.

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 use a spatial segregation model relrisk from the spatstat 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. Molly Tolzmann zmotoly added this feature to her publicly available Google Sheet presented at the DC health planning neighborhood level. The update here can also be found on a public GitHub repository.

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. This post is a replication of the data visualization using R and can be found on a public GitHub repository.