Open Source Programming Courses
Mapping and Spatial Analysis with the 2020 Decennial Census
Analysts interested in a step-by-step introduction to R’s tools for acquiring, mapping, and analyzing spatial 2020 Decennial Census data.
Students must have R.
- Mapping Census data in R
- Understanding “spatial” Census data
- Choosing the right data for your map
- Interactive mapping techniques
- Spatial data analysis
- Custom data extracts and spatial joins
- Comparing small areas from 2010 to 2020
- Building regions for data accuracy
In this 2.5 hour workshop, you’ll learn how use mapping and spatial analysis to work with and visualize 2020 Decennial Census data. The Demographic and Housing Characteristics (DHC) file, released on May 25, includes our first look at detailed age, sex, and household characteristics from the 2020 Census all the way down to the Census block. You’ll use R along with tools like tidycensus, sf, and mapview to explore and communicate trends in the new data.
In the first hour, you’ll learn how to use tidycensus to access linked demographic and geographic decennial Census data within R. You’ll get up to speed with geospatial Census data management in R, and you’ll learn how to make a variety of Census maps with tools like ggplot2 and mapview.
The second hour covers spatial data analysis with the 2020 DHC data. Given that new privacy protections in the data increase uncertainty for small areas, the Census Bureau recommends aggregating small counts to improve reliability. You’ll learn how to use spatial analysis tools to perform this aggregation in your Census data work, and you’ll gain experience with R’s powerful GIS toolkit to generate custom insights.
The last 30 minutes are a live question-and-answer session where we addressed how to connect your own data resources with spatial Census data in R.
You get:
- Unlimited access to the workshop video, so you can learn at your own pace
- An annotated tutorial on mapping and spatial analysis with Census data in R, with insights not found anywhere else
- The Quarto and R source code behind the workshop to help you learn these skills yourselves
None at this time.
None at this time.
Don’t want to purchase online? You can also register for classes using our registration form.
This course made it less intimidating to switch from ArcMap to ArcGIS Pro. So glad I attended.
Student, Idaho State Tax Commission
Knowledgeable instructor, well paced class, applicable information covered, hands-on style.
Brandon Clark, Alabama Power
I strongly and highly recommend it
Matt Gubitosa, U.S. EPA
I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!
Pal Herman Sund
I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the information easy to understand. -
Kyle Lockhart, Escambia County, FL
Class was well organized, well paced and I learned a lot.
Aleeta Zeller, Chattanooga RPA
Definitely got me "over the hump" of being able to grasp Python.
Joseph Monti
These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!
Chris Hickin, NYC Fire Dept.
I have attended a number of instructor-led training courses offered by ESRI, which are great in their own right, but the Mastering the ArcGIS Server JavaScript API course gets much more in-depth than they often do. I really liked the recommended reading, they helped expand the terms being covered in lecture to concrete examples that could be related back to my work more directly instead of just having the lecture and exercises alone. I learned a lot andwill recommend this and other GeoSpatial Training courses to the GIS'ers I know. Thanks for putting this course together and offering it.
Jason Warzinik, Boone County, MO
Really good course material. Very relevant subject matter.
Michael Philp, City of Springville, UT
Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills.
Chris Pollard, Delaware Valley Regional Planning Commission