Census Data Wrangling & Mapping in R

Instructors:

Drew Hart

Drew is a D-Lab consultant and a PhD student in Environmental Science, Policy and Management (ESPM). He studies ecological and landscape genomics and global change biology. His academic background is in ecology (B.S.) and conservation biology (M.S.), and includes a lot of research computing. Outside academia, he has worked in field biology, conservation, community development, sustainable agriculture, and education. As a programmer, he has experience in simulation and statistical modeling, spatial analysis, data munging, databasing, and otherwise automating tedious research tasks.

Read more about Drew Hart

When & Where

Date:

Fri, May 8, 2020 - 9:00 AM to 12:00 PM

Location:

Remote (Zoom information forthcoming)

Description

Type:

Workshop

Zoom Link

To obtain the Zoom link for this workshop please click the link below:

https://berkeley.zoom.us/meeting/register/tJcscu6urzgsEtSUB_wEeVe1N0anVP...

After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.

If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.

If you have questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu

Overview

Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists. Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers. This workshop will introduce three key packages for streamlining census data workflows in R: tigris, tidycensus and tmap. Participants will learn how to download census tabular data for one or more geographic aggregation units or years, download the associated census geographic data and then join these data for analysis and mapping.

Github Repo: https://github.com/dlab-berkeley/Census-Data-in-R

Technology Requirements:

Bring a laptop with R, RStudio and the following R packages installed: sp, sf, rgdal, rgeos, raster, ggplot2, and tmap, tigris and tidycensus.

Knowledge Requirements:

R experience equivalent to the D-Lab R Fundamentals workshop series is required to follow along with the tutorial. Basic knowledge of census data and geospatial data will be very helpful.

Link:

Link to Feedback Form

Github Repo

Keyword:

Software Tools, R

Primary Tool:

Details

Training Learner Level:

Basic Competency

Training Host:

D-Lab

D-lab Facilitator: