Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)
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Summary
Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.
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Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.
Kyle Walker is an associate professor of geography at Texas Christian University, director of TCU's Center for Urban Studies, and a spatial data science consultant. His research focuses on demographic trends in the United States, demographic data visualization, and software tools for open spatial data science. He is the lead author of a number of R packages including tigris, tidycensus, and mapboxapi.
Title: Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)
Author: Walker, Kyle
ISBN: 9781032366449
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2023-02-16
Number of Pages: 352
Weight: 0.6552 kg
This book is destined to become the go-to text for people wanting to use R for the analysis of US Census data. I think this is a strong, clear, and comprehensive introduction to the tidycensus package and the tidyverse. I have been using tidycensus and Walker's tigris package probably since he initially contributed them to the community of R users years ago. Although I use the packages regularly for teaching and research, I still learned quite a bit about their functionality in the chapters I reviewed. Thus, I think it will be a useful text for both novices and experienced R users. I could see this book being used in a variety of social science courses relating to research methodology, data visualization, and cartography.
- Hugh Bartling , Associate Professor, DePaul University
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