Using GIS to Advance Social Economics Research: Geocoding, Aggregation, and Spatial Thinking

REFERENCES

• Abellan, T. J., Richardson, S., & Best, N. (2008). Use of space-time models to investigate the stability of patterns of disease. Environmental Health Perspectives, 116, 1111–1119.
   PubMed Web of Science ®Google Scholar
• Allen, D. W. (2009). GIS tutorial: Spatial analysis workbook. Redlands, CA: ESRI Press.
   Google Scholar
• Allen, D. W., & Coffey, J. M. (2011). GIS tutorial: Advanced workbook. Redlands, CA: ESRI Press.
   Google Scholar
• Barnes, C., Amado, M., & Portnoy, J. M. (2010). Reduced clinic, emergency room, and hospital utilization after home environment assessment and case management. Allergy and Asthma Proceedings, 31, 317–323.
   PubMed Web of Science ®Google Scholar
• Beale, L., Abellan, J. J., Hodgson, S., & Jarup, L. (2008). Methodologic issues and approaches to spatial epidemiology. Environmental Health Perspectives, 116, 1105–1110.
   PubMed Web of Science ®Google Scholar
• Brauer, M., Hoek, G., Van Vliet, P., Meliefste, K., Fischer, P., Wijga, A., … Heinrich, J. (2002). Air pollution from traffic and the development of respiratory infections and asthmatic and allergic symptoms in children. American Journal of Respiratory Infections and Asthmatic and Allergic Symptoms in Children, 166, 1092–1098.
   Google Scholar
• Briant, A., Combes, P. P., & Lafourcade, M. (2010). Dots to boxes: Do the size and shape of spatial units jeopardize economic geography estimations? Journal of Urban Economics, 67, 287–302.
   Web of Science ®Google Scholar
• Center for Economic Information. (2010). Neighborhood housing conditions survey. Final Report for the City of Kansas City, Missouri. pp. 3–5. http://cei.umkc.edu/NHCS/NHCS_FinalReport_2010.pdf
   Google Scholar
• Chetty, R., Grusky, D., Hell, M., Hendren, N., Manduca, R., & Narang, J. (2016). The fading American dream: Trends in absolute income mobility since 1940 (NBER Working Paper No. 22910). Cambridge, MA: NBER.
   Google Scholar
• Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014). Where is the land of opportunity? The geography of intergenerational mobility in the United States. Quarterly Journal of Economics, 129, 2633–2679.
   Web of Science ®Google Scholar
• Chetty, R., Hendren, N., Lin, F., Majerovitz, J., & Scuderi, B. (2016). Childhood environment and gender gaps in adulthood. The American Economic Review, 106, 282–288.
   Web of Science ®Google Scholar
• Chuvieco, E., & Salas, J. (1996). Mapping the spatial distribution of forest fire danger using GIS. International Journal of Geographical Information Systems, 10, 333–345.
   Web of Science ®Google Scholar
• Collander, D. (2017). Ignorance and economics. Forum for Social Economics, 46, 139–144.
   Web of Science ®Google Scholar
• Dearwent, S. M., Jacobs, R. R., & Halbert, J. B. (2001). Locational uncertainty in georeferencing public health datasets. Journal of Exposure Analysis and Environmental Epidemiology, 11, 329–334.
   PubMedGoogle Scholar
• Edwards, S. E., Strauss, B., & Miranda, M. L. (2014). Geocoding large population-level administrative datasets at highly resolved spatial scales. Transactions in GIS, 18, 586–603.
   PubMed Web of Science ®Google Scholar
• Goldberg, D. W., Wilson, J. P., Knoblock, C. A., Ritz, B., & Cockburn, M. G. (2008). An effective and efficient approach for manually improving geocoded data. International Journal of Health Geographics, 7, 60.
   PubMed Web of Science ®Google Scholar
• Hernandez-Guzmán, R., Ruiz-Luna, A., & Berlanga-Robles, C.A. (2008). Assessment of runoff response to landscape changes in the San Pedro subbasin (Nayarit, Mexico) using remote sensing data and GIS. Journal of Environmental Science and Health Part A, 43, 1471–1482.
   Web of Science ®Google Scholar
• Jacquez, G. (2012). A research agenda: Does geocoding positional error matter in health. Spatial and Spatio-Temporal Epidemiology, 3, 7–16.
   PubMedGoogle Scholar
• Johnston, R. (2005). Geography and GIS. In P. A. Longley, M. F. Goodchild, D. J. Maguire, & D. W. Rhind (Eds.), Geographical information systems: Principles, techniques, management, and applications (pp. 27–35). Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Kwan, M.-P. (2012). The uncertain geographic context problem. Annals of the Association of American Geographers, 102, 958–968.
   Web of Science ®Google Scholar
• Logan, R., Zhang, W., & Xu, H. (2010). Applying spatial thinking in social science research. GeoJournal, 75, 15–27.
   PubMedGoogle Scholar
• Manson, S. M., Sander, H. A., Ghosh, D., Oakes, J. M., Orfield, M. W. Jr., Craig, W. J., … Sun, S. (2009). Parcel data for research and policy. Geography Compass, 3, 698–726.
   Google Scholar
• Matsui, E. C., Abramson, S. L., & Sandel, M. T. (2016). Indoor environmental control practices and asthma management. Pediatrics, 138, e1–e11.
   Web of Science ®Google Scholar
• McElroy, J. A., Remington, P. L., Trentham-Dietz, A., Robert, S. A., & Newcomb, P. A. (2003). Geocoding addresses from a large population-based study: Lessons learned. Epidemiology, 14, 399–407.
   PubMed Web of Science ®Google Scholar
• Messner, S., Anselin, L., Baller, D., Hawkins, D., Deane, G., & Tolnay, S. (1999). The spatial patterning of county homicide rates: An application of exploratory data analysis. Journal of Quantitative Criminology, 15, 423–450.
   Web of Science ®Google Scholar
• Miranda, M. L., & Edwards, S. E. (2011). Use of spatial analysis to support environmental health research and practice. N.C. Medical Journal, 72, 123–135.
   Google Scholar
• Mitchell, B., & Watts, M. (2007). Identifying functional regions in Australia using hierarchical aggregation techniques. Working Paper No. 07-06. Callaghan, AU: Center for Full Employment and Equity.
   Google Scholar
• Mohammad, R. A. (2003). Applications of geographic information system in understanding spatial distribution of asthma. Informing Science Journal, 6, 89–99.
   Google Scholar
• Monmonier, M. (1996). How to lie with maps (2nd ed.). Chicago, IL: University of Chicago Press.
   Google Scholar
• Morenoff, J. (2003). Neighborhood mechanisms and the spatial dynamics of birth weight. American Journal of Sociology, 108, 976–1017.
   PubMed Web of Science ®Google Scholar
• Müller, K. H. (2017). Expanding socio-economics in four dimensions. Forum for Social Economics, 46, 26–51.
   Web of Science ®Google Scholar
• Nelson, R. K., Winling, L., Marciano, R., Connolly, N. (2018). Mapping inequality. In R. K. Nelson & E. L. Ayers (Eds.), American Panorama. Retrieved from https://dsl.richmond.edu/panorama/redlining/#loc=11/39.0648/-94.5452&opacity=0.8&city=greater-kansas-city-mo&area=D19&adimage=3/75/-120
   Google Scholar
• Openshaw, S. (1984). The modifiable areal unit problem. Concepts and Techniques in Modern Geography, 38, 41.
   Google Scholar
• Rabito, F. A., Iqbal, S., Shorter, C. F., Osman, P., Philips, P. E., Langlois, E., & White, L. E. (2007). The association between demolition activity and children’s blood lead levels. Environmental Research, 103, 345–351.
   PubMed Web of Science ®Google Scholar
• Rauh, V., Landrigan, P., & Claudio, L. (2008). Housing and health: Intersection of poverty and environmental exposures. Annals of the New York Academy of Sciences, 1136, 276–288.
   PubMed Web of Science ®Google Scholar
• Richardson, K. (2010). Exploring food environments: Assessing access to nutritious food. ArcUser, Fall, 50–52.
   Google Scholar
• Roy, M. J., & Hackett, M. T. (2017). Polanyi’s ‘substantive approach’ to the economy in action? Conceptualizing social enterprise as a public health ‘intervention’. Review of Social Economics, 75, 89–111.
   Web of Science ®Google Scholar
• Rushton, G., Armstrong, M., Gittler, J., Greene, B. R., Pavilik, C. E., West, M. M., & Zimmerman, D. L. (2006). Geocoding in cancer research. American Journal of Preventative Medicine, 30(2S), S16–S24.
   PubMed Web of Science ®Google Scholar
• Schuch, L., Curtis, A., & Davidson, J. (2016). Reducing lead exposure risk to vulnerable populations: A proactive geographic solution. Annals of the American Association of Geographers, 107, 1–19.
   Web of Science ®Google Scholar
• Sonderman, J. S., Mumma, M. T., Cohen, S. S., Cope, E. L., Blot, W. J., & Signorello, L. B. (2012). A multi-stage approach to maximizing geocoding success in a large population-based cohort study through automated and interactive processes. Geospatial Health, 6, 273–284.
   PubMed Web of Science ®Google Scholar
• Stokol, D. (1996). Translating social ecological theory into guidelines for community health promotion. American Journal of Public Health Promotion, 67, 282–298.
   Google Scholar
• Susser, M. (1994). The logic in ecological: I. The logic of analysis. American Journal of Public Health, 84, 825–830.
   PubMed Web of Science ®Google Scholar
• The Equality of Opportunity Project. (2017). Online Data Table 3. Retrieved from http://www.equality-of-opportunity.org/data/
   Google Scholar
• United States Census Bureau. (2017). Tiger/Line Shapefiles and Tiger/Line Files. Retrieved from https://www.census.gov/geo/maps-data/data/tiger-line.html
   Google Scholar
• Vaidyanathan, A., Staley, F., Shire, J., Muthukumar, S., Kennedy, C., Meyer, P., & Brown, M. J. (2009). Screening for lead poisoning, a geospatial approach to determine testing of children in at-risk neighborhoods. Journal of Pediatrics, 154, 409–414.
   PubMed Web of Science ®Google Scholar
• Whitsel, E. A., Rose, K. M., Wood, J. L., Henley, A. C., Liao, D. G., & Heiss, G. (2004). Accuracy and repeatability of commercial geocoding. American Journal of Epidemiology, 160, 1023–1029.
   PubMed Web of Science ®Google Scholar
• Wilson, B., Bowles, B., Eaton, P., Wilson, N., & Brown, N. (2018). Housing, health and history: Interdisciplinary spatial analysis in pursuit of equity for future generations. In J. Puaschunder (Ed.), Intergenerational responsibility in the 21st century (forthcoming). Wilmington, DE: Vernon Press. Retrieved from https://vernonpress.com/book/135
   Google Scholar
• Wodon, Q. (2017). Social economics, poverty, and human development: Conceptual approaches, empirical analysis, and policy. Forum for Social Economics, 45, 121–127.
   Web of Science ®Google Scholar
• Zandbegen, P. (2007). Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads. BMC Public Health, 7, 37.
   PubMed Web of Science ®Google Scholar
• Zandbergen, P. (2009). Geocoding quality and implications for spatial analysis. Geography Compass, 3, 547–680.
   Google Scholar