Working with the American community survey in R a guide to using the acs package /

This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical pr...

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Main Author: Glenn, Ezra.
Other Authors: SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham : Springer, ©2016.
Cham : [2016]
Physical Description: 1 online resource.
Series: SpringerBriefs in statistics.
Subjects:
Table of Contents:
  • Preface; Acknowledgments; Contents; 1 The Dawn of the ACS: The Nature of Estimates; 1.1 Challenges of Estimates in General; 1.2 Challenges of Multi-Year Estimates in Particular; 1.3 Additional Issues in Using ACS Data; 1.4 Putting it All Together: A Brief Example; 2 Getting Started in R; 2.1 Introduction; 2.2 Getting and Installing R; 2.3 Getting and Installing the acs Package; 2.3.1 Installing from cran; 2.3.2 Installing from a Zipped Tarball; 2.4 Getting and Installing a Census API Key; 2.4.1 Using a Blank Key: An Informal Workaround; 3 Working with the New Functions; 3.1 Overview.
  • 3.2 User-Specific Geographies3.2.1 Basic Building Blocks: The Single Element geo.set; 3.2.2 But Where's the Data & ; 3.2.3 Real geo.sets: Complex Groups and Combinations; 3.2.4 Changing combine and combine.term; 3.2.5 Nested and Flat geo.sets; 3.2.6 Subsetting geo.sets; 3.2.7 Two Tools to Reduce Frustration in Selecting Geographies; 3.3 Getting Data; 3.3.1 acs.fetch(): The Workhorse Function; 3.3.2 More Descriptive Variable Names: col.names=; 3.3.3 The acs.lookup() Function: Finding the Variables You Want; 4 Exporting Data; 5 Additional Resources.
  • A A Worked Example Using Blockgroup-Level Data and Nested Combined geo.setsA. 1 Making the geo.set; A.2 Using combine=T to Make a Neighborhood; A.3 Even More Complex geo.sets; A.4 Gathering Neighborhood Data on Transit Mode-Share; References.