Analyzing Us Census Data: Methods, Maps, and Models in R

ISBN-13: 9781138560789 / Angielski / Twarda / 2023 / 352 str.

Walker, Kyle

Opis

Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, and present data products. This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment. Chapters in the book cover following key topics: Rapidly acquiring data from the decennial US Census and American Community Survey using R, then analyzing these datasets using tidyverse tools; Visualizing US Census data with a wide range of methods including charts in ggplot2 as well as both static and interactive maps; Using R as a geographic information system (GIS) to manage, analyze, and model spatial demographic data from the US Census; Working with and modeling individual-level microdata from the American Community Survey's PUMS datasets; Applying these tools and workflows to analysis of historical Census data, other US government datasets, and international Census data from countries like Canada, Brazil, Kenya, and Mexico.

Recenzje

"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

O autorze

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.