Enhancements to GIS Tools and Methods for
Mapping American Community Survey Estimates and Data Quality Information
Armstrong, M. P., N. Xiao, and Bennett, D.
A. 2003. Using genetic algorithms to create multicriteria class
intervals for choropleth maps. Annals of the Association of American
Geographers 93: 595-623.
Brewer, C. A. and L. Pickle. 2002. Evaluation of methods for classifying epidemiological data on choropleth maps in series. Annals, Association of American Geographers 92(4): 662-681.
Brewer, C. A. and T. A. Suchan, 2001. Mapping Census 2000: The Geography of U.S. Diversity. ESRI Press, Redlands, CA.
Cliburn,D.C., J.J. Feddema, J.R. Miller, and T.A. Slocum. 2002.Design and evaluation of a decision support system in a water balance application.Computers & Graphics 26(6): 931-49.
Citro, C. F. and G. Kalton (eds). 2007. Using the American Community Survey: Benefits and challenges. Washington, DC: The National Academies Press.
Fronczek, P. 2005. Income, earnings, and poverty from the 2004 American Community Survey.American Community Survey Reports, U.S. Census Bureau. (http://www.census.gov/prod/2005pubs/acs-01.pdf, accessed on December 9, 2010)
Hough, G.C., and D.W. Swanson. 2006. An evaluation of the American community survey: Results from the Oregon test site. Population Research and Policy Review 25: 257-73.
MacDonald, H. 2006. The American community survey: Warmer (more current), but fuzzier (less precise) than the decennial census. Journal of the American Planning Association. American Planning Association 72(4): 491-503.
MacEachren, A. M., C. A. Brewer and L. W. Pickle. 1998. Visualizing georeferenced data: representing reliability of health statistics. Environment and Planning A 30: 1547-1561.
MacEachren, A. M., A. Robinson, S. Hopper, S. Gardner, R. Murray, M. Gahegan, and E. Hetzler. 2005. Visualizing geospatial information uncertainty: What we know and what we need to know. Cartography and Geographic Information Science 32(3): 139-160.
Pickle, L.W., M. Mungiole, G. K. Jones, and A. A. White. 1996. Atlas of United States Mortality. Hyattsville, Maryland: National Center for Health Statistics.
Stegna, L., and F.
Csillag. 1987. Statistical determination of class intervals of maps.
The Cartographic Journal 24 (2): 142-46.
Suchan, T. A., M. J. Perry, J. D. Fitzsimmons, A. E. Juhn, A. M. Tait, and C. A. Brewer. 2007. Census Atlas of the United States, Series CENSR-29, U.S. Census Bureau, Washington, DC.
U.S. Census Bureau. 2008. A Compass for Understanding and Using American CommunitySurvey Data: What General Data Users Need to Know. U.S. Government Printing Office, Washington, DC.
U.S . Census Bureau, 2009, Design and Methodology: American Community Survey, U.S. Government Printing Office, Washington, D.C.
Xiao, N., C. A.
Calder, and M. P. Armstrong. 2007. Assessing the effect of attribute uncertainty
on the robustness of choropleth map classification. International
Journal of Geographical Information Science 21 (2): 121-44.
Manuscripts resulted from these projects
Sun, M. and D. W. S. Wong. 2010. Incorporating data quality information in mapping the American Community Survey data. Cartography and Geographic Information Science 37 (4): 285-300.
Wong, D. W. and M. Sun. 2013. Handling Data quality information of survey data in GIS: a case of using the American Community Survey data. Spatial Demography 1(1): 3-16. (www.spatialdemography.org)
Sun, M., B. J.
Kronenfeld, and D. W. Wong. 2013. Cartographic
techniques for Communicating class separability: Alternative choropleth
maps of median household income, Iowa, USA, 2006-2010. Journal of
Maps 9(1): 43-49.
Sun, M., D. W. Wong,
and B. Kronenfeld. A classification method for choropleth maps
incorporating data reliability information. The Professional Geographer
|For All Inquiries: David W. Wong, Geography & Geoinformation Science, George Mason University, Email: firstname.lastname@example.org
|Funded by the U.S. Census Bureau, Period of Performance: September 4, 2012 ĘC December 12, 2013, Technical Manager: Dr. Nancy Torrier