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Authors: Zack W. Almquist
Title: [download]
(10631)
US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages
Reference: Vol. 37, Issue 6, Nov 2010
Submitted 2010-01-29, Accepted 2010-10-04
Type: Article
Abstract:

The US Decennial Census is arguably the most important data set for social science research in the United States. The UScensus2000 suite of packages allows for convenient handling of the 2000 US Census spatial and demographic data. The goal of this article is to showcase the UScensus2000 suite of packages for R, to describe the data contained within these packages, and to demonstrate the helper functions provided for handling this data. The UScensus2000 suite is comprised of spatial and demographic data for the 50 states and Washington DC at four different geographic levels (block, block group, tract, and census designated place). The UScensus2000 suite also contains a number of functions for selecting and aggregating specific geographies or demographic information such as metropolitan statistical areas, counties, etc. These packages rely heavily on the spatial tools developed by bivand08, i.e., the sp and maptools packages. This article will provide the necessary background for working with this data set, helper functions, and finish with an applied spatial statistics example.

Paper: [download]
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US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages
(application/pdf, 1.7 MB)
Supplements: [download]
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Downloading_the_UScensus2000-suite.txt: Source package download instructions
(text/plain, 582 Bytes)
[download]
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UScensus2000_1.00.tar.gz: R source package
(application/x-gzip, 59.5 KB)
[download]
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UScensus2000add_1.00.tar.gz: R source package
(application/x-gzip, 12.8 KB)
[download]
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UScensus2000tract_1.00.tar.gz: R source package
(application/x-gzip, 26.3 MB)
[download]
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UScensus2000cdp_1.00.tar.gz: R source package
(application/x-gzip, 12.1 MB)
[download]
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v37i06.R: R example code from the paper
(application/octet-stream, 10 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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