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US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages

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  • Almquist, Zack W.

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.

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  • Almquist, Zack W., 2010. "US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 37(i06).
    • Handle: RePEc:jss:jstsof:v:037:i06
    DOI: http://hdl.handle.net/10.18637/jss.v037.i06
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    Cited by:

    1. Loecher, Markus & Ropkins, Karl, 2015. "RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i04).
    2. Huyen DO VAN & Christine THOMAS-AGNAN & Anne VANHEMS, 2014. "Testing Areal Interpolation Methods With Us Census 2010 Data," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 83-96.
    3. Karin Kitchens, 2021. "Dividing Lines: The Role School District Boundaries Play in Spending Inequality for Public Education," Social Science Quarterly, Southwestern Social Science Association, vol. 102(1), pages 468-491, January.
    4. Zack W. Almquist & Carter T. Butts, 2012. "Point process models for household distributions within small areal units," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(22), pages 593-632.
    5. Kavroudakis, Dimitris, 2015. "sms: An R Package for the Construction of Microdata for Geographical Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i02).
    6. Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).

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