Today, I gave the first of three webinars in this year's @UMSSDAN Census Data in #rstats series:

I used @quarto_pub slides to build the deck, which has lots of amazing features!

A 🧵 on some of my favorites: walker-data.com/umich-workshop…
The latest release of Quarto integrates "lightbox" functionality for images with the option `lightbox: true`. Click to highlight your image for the audience:

I use #rstats to do #GIS every day because it is such a powerful connector of different tools and resources.

Read this 🧵 for a step-by-step workflow of how to do GIS operations with this made-up table of customer locations in R: Our first step is to convert this table of X/Y coordinates into a "simple features" object with the sf R package.

We do this with the function `st_as_sf()`, making POINT geometries from the coordinates:

I just released a new version of the #rstats package {mapboxapi}, which helps you use @Mapbox web services in your data science projects.

Haven't used the package before? Let's take a tour!

A 🧵: Mapbox's cartographic product Mapbox Studio lets you design completely custom basemap styles.

{mapboxapi} includes tools to help you use these styles in your Leaflet, ggplot2, and tmap maps

walker-data.com/mapboxapi/arti…

I use #rstats to do #GIS every day because it is such a powerful connector of different tools and resources.

Read this 🧵 for a step-by-step workflow of how to do GIS operations with this made-up table of customer locations in R: Our first step is to convert this table of X/Y coordinates into a "simple features" object with the sf R package.

We do this with the function `st_as_sf()`, making POINT geometries from the coordinates:

Want to do national analysis with the new 1-year ACS data? Counties won't work, as locations need at least 65,000 people to be included

Consider using Public Use Microdata Areas (PUMAs) instead! A thread about a Census geography that may be unfamiliar: PUMAs are used as geographical identifiers for Census microdata. They are drawn after every decennial Census, and represent around 100,000-200,000 people at the beginning of a Census cycle walker-data.com/census-r/intro…

A new version of my #rstats package crsuggest, which helps you with coordinate reference systems for your spatial data in R, was released on CRAN today. If you haven't tried the package / used it in a while, read on for a quick tour of its features: github.com/walkerke/crsug… Using an appropriate projected coordinate reference system is important for both spatial analysis and cartographic display - but how do you pick one? The function `suggest_crs()` gives you CRS suggestions that could work well for your input data

There are a lot of changes & new features coming to #rstats #tidycensus in April; you can try out the new features now with `remotes::install_github("walkerke/tidycensus")`. Read on in this thread to get up to speed on the updates: github.com/walkerke/tidyc… `get_acs()` and `get_pums()` now both default to the brand-new 5-year American Community Survey estimates. If you need other years, be sure to use the `year` argument to get data for that year