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

Author:   Kyle Walker
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032366449


Pages:   352
Publication Date:   16 February 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $120.00 Quantity:  
Add to Cart

Share |

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


Overview

Full Product Details

Author:   Kyle Walker
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.780kg
ISBN:  

9781032366449


ISBN 10:   1032366443
Pages:   352
Publication Date:   16 February 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

""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 ""Walker [...] is clearly familiar with the material and how to use R to the best advantage for mapping and modeling. Indeed, he has written the code for some of the many R packages covered in this title. In this book, he recommends which R package is most suitable for each application and then provides code examples to highlight how to carry out a simple version of each task with the package. Some of the specific scenarios include the creation of data visualizations using ggplot2 or tmap, a discussion of handling margins of error with the American Community Survey data using tidycensus, and historical census data analysis and mapping using ipumsr. The code samples are suitable for users who are quite familiar with R or similar GIS software. This title would function well as a reference or a textbook for graduate-level students or faculty. -J. Parker, SUNY Cortland in CHOICE, April 2024


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


"""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"


Author Information

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.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

NOV RG 20252

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List