Urban and rural geographies of aging: a local spatial correlation analysis of aging population measures

References

• Alba, Richard, & Logan, John R. (1991). Variations on two themes: Racial and ethnic patterns in the attainment of suburban residence. Demography, 28(3), 431–453.
   PubMed Web of Science ®Google Scholar
• Anselin, Luc. (1995). Local indicators of spatial association-LISA. Geographical Analysis, 27(2), 93–115.
   Web of Science ®Google Scholar
• Anselin, Luc, Syabri, Ibnu, & Kho, Youngihn. (2006). GeoDa: An introduction to spatial data analysis. Geographical Analysis, 38(1), 5–22.
   Web of Science ®Google Scholar
• Anselin, Luc, Syabri, Ibnu, & Smirnov, Oleg. (2002). Visualizing multivariate spatial correlation with dynamically linked windows. Urbana, 51. Retrieved from http://geodacenter.asu.edu/pdf/multi_lisa.pdf
   Google Scholar
• Bailey, Adrian J. (2009). Population geography: Lifecourse matters. Progress in Human Geography, 33(3), 407–418.
   Web of Science ®Google Scholar
• Cabinet Office of Japan. (2011). White paper on the aging society: Heisei 23 edition [in Japanese]. Retrieved from http://www8.cao.go.jp/kourei/whitepaper/w-2011/zenbun/23pdf_index.html
   Google Scholar
• Cadwallader, Martin. (1996). Urban geography: An analytical approach. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Chung, Su-Yuel, & Brown, Lawrence A. (2007). Racial/ethnic residential sorting in spatial context: Testing the explanatory frameworks. Urban Geography, 28(4), 312–339.
   Web of Science ®Google Scholar
• Cliff, Andrew David, & Keith Ord, J. (1973). Spatial autocorrelation. London: Pion.
   Google Scholar
• Davies, Amanda, & James, Amity. (2011). Geographies of aging: Social processes and the spatial unevenness of population aging. London: Ashgate.
   Google Scholar
• Golant, Stephen M. (1992). Housing America’s elderly: Many possibilities, few choices. Newbury Park, CA: Sage.
   Google Scholar
• Goll, M. (2010). Aging in the European Union: Where exactly? Eurostat: Statistics in Focus, 26, 1–16. Retrieved from http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-SF-10-026/EN/KS-SF-10-026-EN.PDF
   Google Scholar
• Harper, Sarah, & Laws, Glenda. (1995). Rethinking the geography of ageing. Progress in Human Geography, 19(2), 199–221.
   Web of Science ®Google Scholar
• Hirai, M. (2011). Distribution and migration of elderly population [in Japanese]. In Y. Ishikawa, T. Inoue, & Y. Tahara (Eds.), Population geography of contemporary Japan (pp. 65–72). Tokyo: Kokon Shoin.
   Google Scholar
• Hodge, Gerald. (2008). The geography of aging: Preparing communities for the surge in seniors. Montreal: Mcgill-Queen’s University Press.
   Google Scholar
• Hopkins, Peter, & Pain, Rachel. (2007). Geographies of age: Thinking relationally. Area, 39(3), 287–294.
   Web of Science ®Google Scholar
• Hugo, G., Ruddy, D., & Downie, M. (1984). Adelaide’s aged population: Changing spatial patterns and their policy implications. Urban Policy and Research, 2, 17–25.
   Google Scholar
• Ishimizu, T. (1981). Metropolitan areas in transition towards aged community [in Japanese]. In E. Isomura, & N. Sakata (Eds.), Cities of tomorrow, vol. 19: Metropolis and problems in metropolitan regions (pp. 142–159). Tokyo: Chuohoki.
   Google Scholar
• Ito, S. (2006). Population aging and the change in age structure in residential estates in Yokohama [in Japanese]. Geographical Review of Japan, 79, 97–110.
   Google Scholar
• Kaplan, David, Wheeler, James O., & Holloway, Steven. (2008). Urban geography (2nd ed.). New York, NY: John Wiley & Sons.
   Google Scholar
• Miyazawa, H. (2003). Uneven nursing care service opportunity and the behavior of service providers under the long-term care insurance system: A statistical analysis in the Kanto District [in Japanese]. Geographical Review of Japan, 76, 59–80.
   Google Scholar
• Monmonier, Mark, & de Blij, H. J. (1996). How to lie with maps (2nd ed.). Chicago, IL: University of Chicago Press.
   Google Scholar
• Moore, Eric G., & Pacey, Michael A. (2003). Geographic dimensions of aging in Canada 1991–2001. Ontario: McMaster University Press.
   Google Scholar
• Moran, Patrick A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1–2), 17–23.
   PubMed Web of Science ®Google Scholar
• Murray, Alan T., Ingrid, McGuffog, John, S. Western, & Patrick, Mullins. (2001). Exploratory spatial data analysis techniques for examining urban crime: Implications for evaluating treatment. British Journal of Criminology, 41(2), 309–329.
   Web of Science ®Google Scholar
• Naganuma, S. (2003). Aging of population and housing renewal in the inner areas of Tokyo [in Japanese]. Geographical Review of Japan, 76, 522–536.
   Google Scholar
• Naganuma, S., Arai, Y., & Esaki, Y. (2006). The aging population in the suburbs of metropolitan Tokyo [in Japanese]. Japanese Journal of Human Geography, 58, 63–76.
   Google Scholar
• Oh, E. J. V., Glasgow, N., & Berry, E. H. (Eds.). (2012). Rural aging in 21st century America: Understanding population trends and processes. Berlin: Springer Verlag.
   Google Scholar
• Ohno, A. (2008). Marginal settlements and community regeneration [in Japanese]. Sapporo: The Hokkaidou Shimbun Press.
   Google Scholar
• Openshaw, Stan. (1984). Concepts and techniques in modern geography: The modifiable areal unit problem. Norwich: Geo Books.
   Google Scholar
• Saino, T. (1997). Population aging in metropolitan cities [in Japanese]. Tokyo: Taimeido.
   Google Scholar
• Schwanen, Tim, Hardill, Irene, & Lucas, Susan. (2012). Spatialities of ageing: The co-construction and co-evolution of old age and space. Geoforum, 43(6), 1291–1295.
   Web of Science ®Google Scholar
• Statistics Bureau of Japan. (2011). A guide to the statistics bureau, the director-general for policy planning (statistical standards), and the statistical research and training institute. Ministry of Internal Affairs and Communications of Japan. Retrieved from http://www.stat.go.jp/english/info/guide/2011ver/index.htm
   Google Scholar
• Stewart, Fotheringham, A., Brunsdon, Chris, & Charlton, Martin. (2000). Quantitative geography: Perspectives on spatial data analysis. London: Sage.
   Google Scholar
• United Nations. (2010). World population aging: 1950–2050. United Nations Department of Economic and Social Affairs, Population Division. Retrieved from http://www.un.org/esa/population/publications/WPA2009/WPA2009-report.pdf
   Google Scholar
• United Nations. (2011). World population prospectus: The 2010 revision. United Nations Department of Economic and Social Affairs, Population Division. Retrieved from http://esa.un.org/unpd/wpp/Documentation/publications.htm
   Google Scholar
• Walford, N. S., & Kurek, S. (2008). A comparative analysis of population ageing in urban and rural areas of England and Wales, and Poland over the last three census intervals. Population, Space and Place, 14(5), 365–386.
   Web of Science ®Google Scholar
• Warnes, A. M. (1981). Towards a geographical contribution to gerontology. Progress in Human Geography, 5(3), 317–341.
   Google Scholar
• Wartenberg, Daniel. (1985). Multivariate spatial correlation: A method for exploratory geographical analysis. Geographical Analysis, 17(4), 263–283.
   Web of Science ®Google Scholar
• Watkins, John. (1990). Appalachian elderly migration: Patterns and implications. Research on Aging, 12(4), 409–429.
   PubMed Web of Science ®Google Scholar
• Wiseman, Robert F., & Roseman, Curtis C. (1979). A typology of elderly migration based on the decision making process. Economic Geography, 55, 324–337.
   PubMed Web of Science ®Google Scholar
• Yano, K. (2007). Japanese population census at small area and geo-demographics. Retrieved from http://www.csis.u-tokyo.ac.jp/japanese/news/csisseminar20070305/csisseminar20070305-1.pdf
   Google Scholar