Volume 28 - Article 10 | Pages 271–312  

Progress in Spatial Demography

By Stephen Matthews, Daniel M. Parker

References

A.N., Arnio and Baumer, E.P. (2012). Demography, foreclosure, and crime: Assessing spatial heterogeneity in contemporary models of neighborhood crime rates. Demographic Research 26(18): 449-488.

Weblink:
Download reference:

Almquist, Z.W. and Butts, C.T. (2012). Point process models for household distributions within small areal units. Demographic Research 26(22): 593-632.

Weblink:
Download reference:

Anderton, D.L., Anderson, A.B., Oakes, J.M., and Fraser, M.R. (1994). Environmental equity: The demographics of dumping. Demography 31(2): 229-248.

Weblink:
Download reference:

Anselin, L. (1988). Spatial econometrics, methods, and models. Dordrecht: Kluwer Academic.

Download reference:

Anselin, L. (2003). Spatial externalities, spatial multipliers, and spatial econometrics. International Regional Science Review 26(2): 153-166.

Weblink:
Download reference:

Anselin, L. (2010). Thirty years of spatial econometrics. Papers in Regional Science 89(1): 3-25.

Weblink:
Download reference:

Anselin, L., J., Le Gallo, and Jayet, H. (2008). Spatial panel econometrics. In: Matyas, L. and Sevestre, P. (eds.). The econometrics of panel data: Fundamentals and recent developments in theory and practice. Berlin,, Heidelberg: Springer: 625-660.

Weblink:
Download reference:

Anselin, L. and Le Gallo, J. (2006). Interpolation of air quality measures in hedonic house price models: Spatial aspects. Spatial Economic Analysis 1(1): 31-52.

Weblink:
Download reference:

Anselin, L. and Rey, S. (2010). Perspectives on spatial data analysis. Berlin: Springer.

Weblink:
Download reference:

Austin, S.B., Melly, S.J., Sanchez, B.N., Patel, A., Buka, S., and Gortmaker, S.L. (2005). Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments. American Journal of Public Health 95(9): 1575-1581.

Weblink:
Download reference:

Bailey, T.C. and Gatrell, A.C. (1996). Interactive spatial data analysis. Harlow, , UK: Longman.

Download reference:

Baller, R.D., Anselin, L., Messner, S.F., Deane, G., and Hawkins, D.F. (2001). Structural covariates of U.S. county homicide rates: Incorporating spatial effects. Criminology 39(3): 561-590.

Weblink:
Download reference:

Banajee, S., Carlin, B.P., and Gelfand, A.E. (2004). Hierarchical modeling and analysis for spatial data. Boca Raton, FL: Chapman and Hall.

Download reference:

Bivand, R.S., E.J., Pebesma, and Gómez-Rubio, V. (2008). Applied spatial data analysis with R. New York: Springer.

Download reference:

Borgoni, R. and Billari, F.C. (2003). Bayesian spatial analysis of demographic survey data: An application to contraceptive use at first sexual intercourse. Demographic Research 8(3): 61-92.

Weblink:
Download reference:

Borruso, G. (2009). Geographical analysis of foreign immigration and spatial pattern in urban areas: density estimation, spatial segregation and diversity analysis. In: Gavrilova, M.L. and Tan, C.J.K. (eds.). Lecture notes in computer science (LNCS):Transactions on computational science VI. Berlin: Springer-Verlag: 301-323.

Weblink:
Download reference:

Brown, L.A. and Chung, S. (2006). Spatial segregation, segregation indices and the geographical perspective. Population, Space and Place 12(2): 125–143.

Weblink:
Download reference:

Bruch, E.E. and Mare, R.D. (2006). Neighborhood choice and neighborhood change. American Journal of Sociology 112(3): 667-709.

Weblink:
Download reference:

Butts, C.T. and Acton, R.M. (2011). Spatial modeling of social networks. In: Nyerges, T.L., Couclelis, H., and McMaster, R. (eds.). The SAGE handbook of GIS and society. Thousand Oaks, CA: SAGE: 222-250.

Weblink:
Download reference:

Butz, W. and Torrey, B.B. (2006). Some frontiers in social science. Science 312(5782): 1898-1900.

Weblink:
Download reference:

Castro, M. (2007). Spatial demography: An opportunity to improve policy making at diverse decision levels. Population Research and Policy Review 26(5): 477–509.

Weblink:
Download reference:

Castro, M., Monte-Mór, R.L., Sawyer, D.O., and Singer, B.H. (2006). Malaria risk on the Amazon frontier. Proceedings of the National Academy of Sciences 103(7): 2452-2457.

Weblink:
Download reference:

Chaix, B., Merlo, J., and Chauvin, J. (2005). Comparison of a spatial approach with the multilevel approach for investigating place effects on health: The example of healthcare utilization in France. Journal of Epidemiology and Community Health 59: 517-526.

Weblink:
Download reference:

Chaix, B., Merlo, J., Evans, D. , Leal, C., and Havard, S. (2009). Neighborhoods in eco-epidemiologic research: Delimiting personal exposure areas: A response to Riva, Gauvin, Apparicio and Brodeur. Social Science & Medicine 69(9): 1306-1310.

Weblink:
Download reference:

Chaix, B., Merlo, J., Subramanian, S.V., Lynch, J., and Chauvin, P. (2005). Comparison of a spatial perspective with a multilevel analytical approach in neighborhood studies: the case of mental and behavioral disorders due to psychoactive substance use in Malmö, Sweden, 2001. American Journal of Epidemiology 162(2): 171-182.

Weblink:
Download reference:

Chen, V.Y-J., Den, W-S., Yang, T-C., and Matthews, S.A. (2012). Geographically weighted quantile regression (GWQR): An application to US mortality data. Geographical Analysis 44(2): 134-150.

Weblink:
Download reference:

Chen, V.Y-J., Wu, P-C., Yang, T-C. , and H-J., Su (2010). Examining non-stationary effects of social determinants on cardiovascular mortality after cold surges in Taiwan. Science of the Total Environment 408(9): 2042–2049.

Weblink:
Download reference:

Chi, G. and Zhu, J. (2008). Spatial regression models for demographic analysis. Population Research and Policy Review 27(1): 17-42.

Weblink:
Download reference:

Cho, S., Lambert, D.M., Kim, S.G., and Jung, S. (2009). Extreme coefficients in geographically weighted regression and their effects on mapping. GIScience & Remote Sensing 46(3): 273–288.

Weblink:
Download reference:

Cleveland, W.S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74(368): 829–836.

Weblink:
Download reference:

Cressie, N. (1991). Statistics for spatial data. New York, NY: John Wiley and Sons.

Download reference:

Cromley, E.K. and McLafferty, S.L. (2002). GIS and public health. New York: Guilford Press.

Download reference:

Cromley, E.K. and McLafferty, S.L. (2011). GIS and public health (second edition). New York: Guilford Press.

Download reference:

De Jong, G.F., Roempke Graefe, D., Irving, S.K., and St. Pierre, T. (2006). Measuring state TANF policy variations and change after reform. Social Science Quarterly 87(4): 755-781.

Weblink:
Download reference:

De Smith, M.J., M.F., Goodchild, and Longley, P.A. (2007). Geospatial analysis. Leicester, UK: The Winchelsea Press, Troubador Publishing Limited.

Download reference:

Dedrick, R.F., Ferron, J.M., Hess, M.R., Hogarty, K.Y., Kromrey, J.D., Lang, T.R., Niles, J.D., and Lee, R.S. (2009). Multilevel modeling: A review of methodological issues and applications. Review of Educational Research 79(1): 69-102.

Weblink:
Download reference:

Degraff, D.S., Bilsborrow, R.E., and Guilkey, D.K. (1997). Community-level determinants of contraceptive use in the Philippines: A structural analysis. Demography 34(3): 385-398.

Weblink:
Download reference:

Diez Rouz, A.V. (2003). The examination of neighborhood effects on health: Conceptual and methodological issues related to the presence of multiple levels of organization. In: Kawachi, I. and Berkman, L.F. (eds.). Neighborhoods and health. New York, NY: Oxford University Press: 45-64.

Weblink:
Download reference:

Diggle, P.J. (2003). Statistical analysis of spatial point patterns. London, UK: Arnold Publishers.

Download reference:

Divino, F., Egidi, V., and Salvatore, M.A. (2009). Geographical mortality patterns in Italy. Demographic Research 20(18): 435-466.

Weblink:
Download reference:

Duncan, D.T., Aldstadt, J., Whalen, J., White, K., M.C., Castro, and Williams, D.R. (2012). Space, race, and poverty: Spatial inequalities in walkable neighborhood amenities? Demographic Research 26(17): 409-448.

Weblink:
Download reference:

Echávarri, R.A. and Ezcurra, R. (2010). Education and gender bias in the sex ratio at birth: Evidence from India. Demography 47(1): 249-268.

Weblink:
Download reference:

Edwards, K., Clarke, G., Ransley, J.K., and Cade, J. (2010). The neighbourhood matters: studying exposures relevant to childhood obesity and the policy implications in Leeds, UK. Journal of Epidemiology and Community Health 64(3): 194-201.

Weblink:
Download reference:

Elhorst, J.P. (2010). Spatial panel data models. In: M.M., Fischer and Getis, A. (eds.). Handbook of applied spatial analysis: Software, tools, methods and applications. Berlin: Springer-Verlag: 377-407.

Weblink:
Download reference:

Elhorst, J.P. (2003). Specification and estimation of spatial panel data models. International Regional Science Review 26(3): 244-268.

Weblink:
Download reference:

Elliot, P., Wakefield, J., Best, N., and Briggs, D. (2001). Spatial epidemiology: Methods and applications. Oxford, UK: Oxford University Press.

Weblink:
Download reference:

Elwood, S., M.J., Goodchild, and Sui, D. (2012). Researching Volunteered Geographic Information: Spatial data, geographical research, and new social practice. Annals of the Association of American Geographers 102(3): 571-590.

Weblink:
Download reference:

Entwisle, B. (2007). Putting people into place. Demography 44(4): 687-703.

Weblink:
Download reference:

Entwisle, B. (2011). Spatial demography: Opportunities and challenges. Paper presented at the Future directions in spatial demography specialist meeting, Santa Barbara, CA, December 2011.

Entwisle, B., Casterline, J.B., and Sayed, H.A.A. (1989). Villages as context for contraceptive behavior in rural Egypt. American Sociological Review 54(6): 1019-1034.

Weblink:
Download reference:

Entwisle, B., Mason, W.M., and Hermalin, A.I. (1986). The multilevel dependence of contraceptive use on socioeconomic development and family planning program strength. Demography 23(2): 199-216.

Weblink:
Download reference:

Entwisle, B., Rindfuss, R.R, Walsh, S.J., Evans, T.P., and Curran, S.R. (1997). Geographic information systems, spatial network analysis, and contraceptive choice. Demography 34(2): 171-187.

Weblink:
Download reference:

Entwistle, B., Faust, K., Rindfuss, R.R., and T., Kenada (2007). Networks and contexts: Variation in the structure of social ties. American Journal of Sociology 112(5): 1495-1533.

Weblink:
Download reference:

Fingleton, B. (2008). A generalized method of moments estimator for a spatial panel model with an endogenous spatial lag and spatial moving average errors. Spatial Economic Analysis 3(1): 27-44.

Weblink:
Download reference:

Fischer, M.M. and Getis, A. (2010). Handbook of applied spatial analysis: Software tools, methods and applications. Berlin: Springer.

Weblink:
Download reference:

Flowerdew, R., Manley, D.J., and Sabel, C.E. (2008). Neighborhood effects on health: Does it matter where you draw the boundaries. Social Science & Medicine 66(6): 1241-1255.

Weblink:
Download reference:

Fotheringham, A.S. (2009). Geographically weighted regression. In: Fotheringham, A.S. and Rogerson, P.A. (eds.). The SAGE handbook of spatial analysis. Thousand Oaks, CA: SAGE: 243-253.

Download reference:

Fotheringham, A.S. , Brunsdon, C., and Charlton, M.E. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Chichester, UK: John Wiley & Sons.

Download reference:

Fotheringham, A.S. and Rogerson, P.A. (2009). The SAGE handbook of spatial analysis. Thousand Oaks, CA: SAGE.

Download reference:

Frank, A.I. (2003). Using measures of spatial autocorrelation to describe socio-economic and racial residential patterns in US urban areas. In: Kidner, D., Higgs, G., and White, S. (eds.). Socio-economic applications of geographic information science (Innovations in GIS 9). London, UK: Taylor and Francis: 147-162.

Download reference:

Fraser, L.K., Clarke, G.P., Cade, J.E, and Edwards, K.L. (2012). Fast food and obesity: A spatial analysis in a large United Kingdom population of children aged 13-15. American Journal of Preventive Medicine 42(5): e77-e85.

Weblink:
Download reference:

Friedman, S. and Lichter, D.T. (1998). Spatial inequality and poverty among American children. Population Research and Policy Review 17(2): 91-109.

Weblink:
Download reference:

Gatrell, A.C., Bailey, T.C., Diggle, P.J., and Rowlingson, B.S. (1996). Spatial point pattern analysis and its application in geographical epidemiology. Transactions Institute of British Geographers 21(1): 256-274.

Weblink:
Download reference:

Gebreab, S.Y. and Diez Roux, A.V. (2012). Exploring racial disparities in CHD mortality between blacks and whites across the United States: A geographically weighted regression approach. Health & Place 18(5): 1006-1014.

Weblink:
Download reference:

Glass, T.A. and McAtee, M.J. (2006). Behavioral science at the crossroads in public health: Extending horizons, envisioning the future. Social Science & Medicine 62(7): 1650-1671.

Weblink:
Download reference:

Goldstein, H. (2010). Multilevel statistical models. New York, NY: Wiley.

Weblink:
Download reference:

Goodchild, M.F. (2007). Citizens as sensors: The world of volunteered geography. GeoJournal 69(4): 211–221.

Weblink:
Download reference:

Goodchild, M.F., Anselin, L., Applebaum, R.P., and Herr Harthorn, B. (2000). Toward spatially integrated social science. International Regional Science Review 23(2): 139-159.

Weblink:
Download reference:

Goodchild, M.F. and Janelle, D.G. (2004). Spatially integrated social science. New York, NY: Oxford University Press.

Download reference:

Goodchild, M.F. and Janelle, D.G. (2010). Toward critical spatial thinking in the social sciences and humanities. GeoJournal 75(1): 3-13.

Weblink:
Download reference:

Graif, C. and Sampson, R.J. (2009). Spatial heterogeneity in the effects of immigration and diversity on neighborhood homicide rates. Homicide Studies 13(3): 242-260.

Weblink:
Download reference:

Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge, UK: Cambridge Univ. Press.

Weblink:
Download reference:

Hallin, M., Lu, Z., and Yu, K. (2009). Local linear spatial quantile regression. Bernoulli 15(3): 659-686.

Weblink:
Download reference:

Harris, R., Singleton, A., Grose, D., Brunsdon, C., and Longley, P.A. (2010). Grid enabling geographically weighted regression: A case study of participation in higher education in England. Transactions in GIS 14(1): 43-61.

Weblink:
Download reference:

Hirschman, C. and Guest, A. (1990). Multilevel models of fertility determination in four southeast Asian countries: 1970 and 1980. Demography 27(3): 369-396.

Weblink:
Download reference:

I., Jung, Kulldorff, M., and Klassen, A. (2007). A spatial scan statistic for ordinal data. Statistics in Medicine 26(7): 1594–1607.

Weblink:
Download reference:

Isik, O. and Pinarcioglu, M.M. (2006). Geographies of a silent transition: A geographically weighted regression approach to regional fertility differences in Turkey. European Journal of Population/Revue européenne de Démographie 22(4): 399-421.

Download reference:

Issaks, E.H. and Srivastava, R.M. (1989). An introduction to applied geostatistics. Oxford, UK: Oxford University Press.

Download reference:

Jankowska, M.M., Benza, M., and Weeks, J. (2012). Estimating spatial inequalities of urban child mortality. Demographic Research 28(2): 33-62.

Weblink:
Download reference:

Jannelle, D.J. and Goodchild, M.F. (2011). Concepts, principles, tools, and challenges in spatially integrated social science. In: Nyerges, T.L., Couclelis, H., and McMaster, R. (eds.). The SAGE handbook of GIS and society. Thousand Oaks, CA: SAGE: 27-45.

Weblink:
Download reference:

Jen, M.H., Jones, K., and Johnston, R. (2009). Compositional and contextual approaches to the study of health behaviour and outcomes: Using multi-level modelling to evaluate Wilkinson's income inequality hypothesis. Health & Place 15(1): 198-203.

Weblink:
Download reference:

Jiang, B., Yao, X., and Wheeler, D.C. (2010). Visualizing and diagnosing coefficients from geographically weighted regression models. In: Sui, D.Z., Tietze, W., Claval, P., Gradus, Y., Park, S.O., and Wusten, H. (eds.). Geospatial analysis and modelling of urban structure and dynamics. Netherlands: Springer: 415-436.

Weblink:
Download reference:

Johnson, K.M., Voss, P.R., Hammer, R.B., Fuguitt, G.V., and Mcniven, S. (2005). Temporal and spatial variation in age-specific net migration in the United States. Demography 42(2): 791-812.

Weblink:
Download reference:

Johnston, R., Poulsen, M., and Forrest, J. (2011). Using spatial statistics to identify and characterise ethnoburbs: Establishing a methodology using the example of Auckland, New Zealand. GeoJournal 76(5): 447-467.

Weblink:
Download reference:

Kelejian, H. H. and Prucha, I.R. (2002). 2SLS and OLS in a spatial autoregressive model with equal spatial weights. Regional Science and Urban Economics 32(6): 691-707.

Weblink:
Download reference:

Kelejian, H.H. and Prucha, I.R. (2007). The relative efficiencies of various predictors in spatial econometric models containing spatial lags. Regional Science and Urban Economics 37(3): 363-374.

Weblink:
Download reference:

Koenker, R. (2005). Quantile regression. Cambridge: Cambridge University Press.

Weblink:
Download reference:

Kostov, P.A. (2009). Spatial quantile regression hedonic model of agricultural land prices. Spatial Economic Analysis 5(1): 53 - 72.

Weblink:
Download reference:

Kulldorff, M. (1997). A spatial scan statistic. Communications in Statistics: Theory and Methods 26(6): 1481-1496.

Weblink:
Download reference:

Kulldorff, M. (1998). Statistical methods for spatial epidemiology. In: A.C., Gatrell and Loytonen, M. (eds.). GIS and health. London, UK: Taylor and Francis: 42-69.

Download reference:

Lawson, A.B. (2006). Statistical methods in spatial epidemiology. New York, NY: John Wiley and Sons.

Download reference:

Lawson, A.B., Browne, W.J., and Vidal Rodeiro, C.L. (2003). Disease mapping with WinBUGS and MLwiN. New York, NY: John Wiley and Sons.

Weblink:
Download reference:

Lee, B.A. , Reardon, S.F., Firebaugh, G., Farrell, C.R., Matthews, S.A., and O’Sullivan, D. (2008). Beyond the census tract: Patterns and determinants of racial segregation at multiple geographic scales. American Sociological Review 73(5): 766-791.

Weblink:
Download reference:

Lee, L.F. (2004). Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive models. Econometrica 72(6): 1899-1925.

Weblink:
Download reference:

Lee, L.F. (2003). Best spatial two stage least squares estimators for a spatial autoregressive model with autoregressive disturbances. Econometric Reviews 22(4): 307-335.

Weblink:
Download reference:

Lee, L.F. (2007). GMM and 2SLS estimation of mixed regressive, spatial autoregressive models. Journal of Econometrics 137(2): 489-514.

Weblink:
Download reference:

LeSage, J.P, and Pace, R.K. (2009). Introduction to spatial econometrics. Boca Raton, FL: CRC.

Weblink:
Download reference:

LeSage, J.P. and Pace, R.K. (2007). A matrix exponential spatial specification. Journal of Econometrics 140(1): 190-214.

Weblink:
Download reference:

Liverman, D., Moran, E.F. , R.R., Rindfuss, and Stern, P.C. (1998). People and pixels: Linking remote sensing and social science. Washington D.C.: National Academy Press.

Download reference:

Lloyd, C.B. (2011). Local models for spatial analysis (Second Edition). Boca Raton, FL: CRC Press.

Download reference:

Logan, J.R. (2012). Making a place for space: Spatial thinking in social science. Annual Reviews of Sociology 38: 507-524.

Weblink:
Download reference:

Logan, J.R., Zhang, W., and Xu, H. (2012). Applying spatial thinking in social science research. GeoJournal 75(1): 15–27.

Weblink:
Download reference:

Macintyre, S. and Ellaway, A. (2003). Neighborhoods and health: An overview. In: Kawachi, I. and Berkman, L.F. (eds.). Neighborhoods and health. New York, NY: Oxford University Press: 20-42.

Download reference:

Macintyre, S. and Ellaway, A. (2003). Neighborhoods and health: An overview. In: Kawachi, I. and Berkman, L.F. (eds.). Neighborhoods and health. New York, NY: Oxford University Press: 20-42.

Download reference:

Matthews, S.A. (2011a). Spatial analysis. Oxford Bibliographies Online – Sociology.

Matthews, S.A. (2011b). Spatial polygamy and the heterogeneity of place: studying people and place via egocentric methods. In: Burton, L., Kemp, S., Leung, M., Matthews, S.A., and Takeuchi, D. (eds.). Communities, neighborhoods, and health: Expanding the boundaries of place. New York: Springer: 35-55.

Download reference:

Matthews, S.A. (2012). Thinking about place, spatial behavior, and spatial processes in childhood obesity. American Journal of Preventive Medicine 42(5): 516-520.

Weblink:
Download reference:

Matthews, S.A., Janelle, D.G., and Goodchild, M.F. (2007). Advanced Spatial Analysis Training for Population Scientists. University Park, PA: Penn State Population Research Institute.

Matthews, S.A., Janelle, D.G., and Goodchild, M.F. (2012). Future directions in spatial demography: Final report. (Final Report of a Specialist Meeting held December 12-13, 2011).

Matthews, S.A., Moudon, A.V., and Daniel, M. (2009). Using geographic information systems (GIS) for enhancing research relevant to policy on diet, physical activity, and weight. American Journal of Preventive Medicine 36(4S): 171-176.

Weblink:
Download reference:

Matthews, S.A. and Yang, T.-C. (2012). Mapping the results of local statistics: Using geographically weighted regression. Demographic Research 26(6): 151-166.

Weblink:
Download reference:

McCarty, C., Molina, J.L., Aguilar, C., and Rota, L. (2007). A comparison of social network mapping and personal network visualization. Field Methods 19(2): 145-162.

Weblink:
Download reference:

Menken, J., Blanc, A.K., and Lloyd, C.B. (eds.) (2002). Training and support of developing-country population scientists: A panel report. New York: Population Council.

Download reference:

Mennis, J. (2006). Mapping the results of geographically weighted regression. The Cartographic Journal 43(2): 171-179.

Weblink:
Download reference:

Mennis, J.L. and Jordan, L. (2005). The distribution of environmental equity: Exploring spatial nonstationarity in multivariate models of air toxic releases. Annals of the Association of American Geographers 95(2): 249-268.

Weblink:
Download reference:

Merlo, J., Chaix, B., Ohlsson, H., Beckman, A., Johnell, K., Hjerpe, P., Rastam, L., and K., Larsen (2006). A brief conceptual tutorial of multilevel analysis in social epidemiology: Using measures of clustering in multilevel logistic regression to investigate contextual phenomena. Journal of Epidemiology and Community Health 60(4): 290-297.

Weblink:
Download reference:

Messner, S.F., Anselin, L., Baller, R.D., Hawkins, D.F., Deane, G., and Tolnay, S.E. (1999). The spatial patterning of county homicide rates: An application of exploratory spatial data analysis. Journal of Quantitative Criminology 15(4): 423-450.

Weblink:
Download reference:

Mobley, L.R., Kuo, T., and Andrews, L.S. (2008). How sensitive are multilevel regression findings to defined area of context? A case study of mammography use in California. Medical Care Research and Review 65: 315-337.

Download reference:

Morenoff, J.D. (2003). Neighborhood mechanisms and the spatial dynamics of birth weight. American Journal of Sociology 108(5): 976-1017.

Weblink:
Download reference:

Morenoff, J.D., Sampson, R.J., and Raudenbush, S.W. (2001). Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence. Criminology 39(3): 517-558.

Weblink:
Download reference:

Morland, K., Wing, S., Diez Roux, A.V., and Poole, C. (2002). Neighborhood characteristics associated with the location of food stores and food service places. American Journal of Preventive Medicine 22(1): 23-29.

Weblink:
Download reference:

N., Salvati, Tzavidis, N., Pratesi, M., and Chambers, R. (2007). Small area estimation via M-quatile geographically weighted regression. Wollongong, Australia: Centre for Statistical and Survey Methodology, University of Wollongong ((CSSM Working Paper Series 14-08)).

Download reference:

Namboodiri, K. (1991). Demographic analysis: A stochastic approach. San Diego, CA: Academic Press Inc. Harcourt Brace Jovanovich, Publishers.

Download reference:

National Institute of Child Health and Human Development (2002). Demographic and Behavioral Sciences Branch, goals and opportunities: 2002-2006. Bethesda, MD: Demographic and Behavioral Sciences Branch, Center for Population Research, NICHD.

Download reference:

Nawrotzki, R., Dickinson, T.W., and Hunter, L.M. (2012). Natural resources and natural livelihoods: Differences between migrants and non-migrants in Madagascar. Demographic Research 26(24): 661-700.

Weblink:
Download reference:

O’Sullivan, D. and Unwin, D.J. (2010). Geographic information analysis. Hoboken, NJ: John Wiley.

Download reference:

Openshaw, S. (1984). The modifiable areal unit problem. Norwich, UK: GeoBooks.

Download reference:

Páez, A., F., Long, and Farber, S. (2008). Moving window approaches for hedonic price estimation: An empirical comparison of modelling techniques. Urban Studies 45(8): 1565-1581.

Weblink:
Download reference:

Páez, A., Farber, S., and Wheeler, D.C. (2011). A simulation-based study of geographically weighted regression as a method for investigating spatially varying relationships. Environment and Planning A 43(12): 2992-3010.

Weblink:
Download reference:

Pais, J.F. and Elliott, J.R. (2008). Places as recovery machines: Vulnerability and neighborhood change after major hurricanes. Social Forces 86(4): 1415–1453.

Weblink:
Download reference:

Palmer, J.R.B., Espenshade, T.J., Bartumeus, F., Chung, C.Y., Ozgencil, N.E., and Li, K. (Forthcoming). New approaches to human mobility: Using mobile phones for demographic research. Demography .

Download reference:

Pebley, A. and Sastry, N. (2004). Neighborhoods, poverty, and children’s wellbeing. In: Neckerman, K.M. (ed.). Social inequality. New York, NY: Russell Sage Foundation: 119-145.

Download reference:

Pebley, A.R., Goldman, N., and Rodriguez, G. (1996). Prenatal and delivery care and childhood immunization in Guatemala: Do family and community matter? Demography 33(2): 231-247.

Weblink:
Download reference:

Plane, D.A. and Rogerson, P.A. (1994). The geographical analysis of population: With applications to planning and business. New York, NY: John Wiley & Sons.

Download reference:

Raento, M., Oulasvirta, A., and Eagle, N. (2009). Smartphones: An emerging tool for social scientists. Sociological Methods and Research 37(3): 426-454.

Weblink:
Download reference:

Reardon, S.F. and Firebaugh, G. (2002). Measures of multigroup segregation. Sociological Methodology 32(1): 33-67.

Weblink:
Download reference:

Reardon, S.F., Matthews, S.A., O’Sullivan, D., Lee, B.A., Firebaugh, G., Farrell, C.R., and Bischoff, K. (2008). The geographic scale of metropolitan racial segregation. Demography 45(3): 489-514.

Weblink:
Download reference:

Reardon, S.F. and O‘Sullivan, D. (2004). Measures of spatial segregation. Sociological Methodology 34(1): 121-162.

Weblink:
Download reference:

Rees, P.H. and Wilson, A.G. (1977). Spatial population analysis. London, UK: Edward Arnold.

Download reference:

Reich, B.J., Fuentes, M., and Dunson, D.B. (2011). Bayesian spatial quantile regression. Journal of the American Statistical Association 106(493): 6-20.

Weblink:
Download reference:

Robinson, A.H. (1982). Early thematic mapping in the history of cartography. Chicago, IL: The University of Chicago Press.

Download reference:

Rogers, A. (1975). Introduction to multiregional mathematical demography. New York, NY: John Wiley.

Download reference:

Rogers, A. (1985). Multiregional demography: Principles, methods and extensions. New York, NY: John Wiley.

Download reference:

Saelens, B.E., Sallis, J.F., Black, J.B., and Chen, D. (2003). Neighborhood-based differences in physical activity: An environment scale evaluation. American Journal of Public Health 93(9): 1552-1558.

Weblink:
Download reference:

Sampson, R.J., Morenoff, J.D., and Earls, F. (1999). Beyond social capital: Spatial dynamics of collective efficacy for children. American Sociological Review 64(5): 633-660.

Weblink:
Download reference:

Sastry, N. (1996). Community characteristics, individual and household attributes, and child survival in Brazil. Demography 33(2): 211-229.

Weblink:
Download reference:

Savitz, N.V. and Raudenbush, S.W. (2009). Exploiting spatial dependence to improve measurement of neighborhood social processes. Sociological Methodology 39(1): 151-183.

Weblink:
Download reference:

Schabenberger, O. and Gotway, C.A. (2005). Statistical methods for spatial data analysis. Boca Raton, FL: Chapman and Hall/CRC.

Download reference:

Shoff, C. and Yang, T.-C. (2012). Spatially varying predictors of teenage birth rates among counties in the United States. Demographic Research 27(14): 377-418.

Weblink:
Download reference:

Shoff, C., Yang, T.-C., and Matthews, S.A. (2012). What has geography got to do with it? Using GWR to explore place-specific associations with prenatal care utilization. GeoJournal 77(3): 331-341.

Weblink:
Download reference:

Spielman, S.E. and Logan, J.R. (2012). Using high resolution population data to identify neighborhoods and determine their boundaries. Annals of the Association of American Geographers 103(1): 67-84.

Weblink:
Download reference:

Spielman, S.E. and Yoo, E.-h. (2009). The spatial dimensions of neighborhood effects. Social Science and Medicine 68(6): 1098-1105.

Weblink:
Download reference:

Stephenson, R. and Tsui, A.O. (2002). Contextual influences on reproductive health service use in Uttar Pradesh, India. Studies in Family Planning 33(4): 309-320.

Weblink:
Download reference:

Su, L. and Yang, Z. (2007). Instrumental variable quantile estimation of spatial autoregressive models. Singapore: Singapore Management University, School of Economics ((Research Collection School of Economics Paper 1074)).

Download reference:

Subramamnian, S.V., Jones, K., and Duncan, C. (2003). Multilevel methods for public health research. In: Kawachi, I. and Berkman, L.F. (eds.). Neighborhoods and health. New York, NY: Oxford University Press: 65-111.

Download reference:

Voss, P.R. (2007a). Demography as a spatial social science. Population Research and Policy Review 26(5-6): 457–476.

Weblink:
Download reference:

Voss, P.R. (2007b). Introduction to the special issue on spatial demography. Population Research and Policy Review 26(5-6): 455-456.

Weblink:
Download reference:

Voss, P.R., Long, D.D., Hammer, R.B., and Friedman, S. (2006). County child poverty rates in the US: A spatial regression approach. Population Research and Policy Review 25(4): 369–391.

Weblink:
Download reference:

Wachter, K.W. (2005). Spatial demography. Proceedings of the National Academy of Sciences 102(43): 15299-15300.

Weblink:
Download reference:

Weeks, J. (2006). Population. Belmont, CA: Wadsworth/Thomson Learning.

Download reference:

Weeks, J. (2004). The role of spatial analysis in demographic reseach. In: Goodchild, M.F. and Janelle, D.G. (eds.). Spatially integrated social science. New York, NY: Oxford University Press: 381-399.

Download reference:

Wheeler, D.C. (2007). Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environment and Planning A 39(10): 2464-2481.

Weblink:
Download reference:

Wheeler, D.C. (2009). Simultaneous coefficient penalization and model selection in geographically weighted regression: The geographically weighted lasso. Environment and Planning A 41(3): 722-742.

Weblink:
Download reference:

Wheeler, D.C. and Páez, A. (2010). Geographically weighted regression. In: Fischer, M.M. and Getis, A. (eds.). Handbook of applied spatial analysis: Software tools, methods and applications. Berlin : Springer: 461-486.

Download reference:

Wheeler, D.C. and Tiefelsdorf, M. (2005). Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographical Systems 7(2): 161-187.

Weblink:
Download reference:

Wong, D.W.S. (2004). Comparing traditional and spatial segregation measures: A spatial scale perspective. Urban Geography 25(1): 66-82.

Weblink:
Download reference:

Wong, D.W.S. (2002). Spatial measures of segregation and GIS. Urban Geography 23(1): 85-92.

Weblink:
Download reference:

Woods, R. and Rees, P.H. (eds.) (1986). Population structures and models: Developments in spatial demography. London, UK: G. Allen and Unwin.

Download reference:

Yang, T.-C. and Matthews, S.A. (2012). Understanding the non-stationary associations between distrust of the health care system, health conditions, and self-rated health in the elderly: A geographically weighted regression approach. Health & Place 18(3): 576-585.

Weblink:
Download reference:

Yang, T.-C., Teng, H.-W., and Haran, M. (2009). The impacts of social capital on infant mortality in the U.S.: A spatial investigation. Applied Spatial Analysis and Policy 2(3): 211-227.

Weblink:
Download reference:

Yang, T.C., Wu, P.-C., V.Y.-J., Chen, and H.-J., Su (2009). Cold surge: A sudden and spatially varying threat to health? Science of the Total Environment 407(10): 3421-3424.

Weblink:
Download reference:

Yang, T-C., Jensen, L., and Haran, M. (2011). Social capital and human mortality: Explaining the rural paradox with county-level mortality data. Rural Sociology 76(3): 347-374.

Weblink:
Download reference:

Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. (2005). Neighborhood racial composition, neighborhood poverty, and the spatial access of supermarkets in metropolitan Detroit. American Journal of Public Health 95(4): 660-667.

Weblink:
Download reference:

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