Carlos Siordia(a)*, Douglas F. Wunneburger(b)
(a) NRSA Department of Epidemiology at the University of Pittsburgh, USA
(b) Department of Landscape Architecture and Urban Planning at Texas A&M University, USA
* Corresponding author. Email: firstname.lastname@example.org
Anselin, L 1995, Local indicators of spatial association-LISA, Geographical Analysis, 27, pp. 93-115.
Baddeley, AJ & Silverman, BW 1984, A Cautionary Example on the Use of Second-Order Methods for Analyzing Point Patterns, Biometrics, 40, pp. 1089-1093.
Barrios, T, Diamond, R, Imbens, GW & Kolesar, M 2010, Clustering, Spatial Correlations and Randomization Infer-ence. National Bureau of Economic Research, NBER Working Paper No. 1576.
Books, J & Prysby, C 1988, Studying contextual effects on political behavior: a research inventory and agenda, American Politics Quarterly, 16, p. 211-238.
Burdette, AM 2013, Neighborhood context and breastfeed-ing behaviors among urban mothers, Journal of Human Lactation, 29, pp. 597-604.
Cova, TJ & Church, RL 2000, Contiguity constraints for single-region site search problems, Geographical Analysis, 32, pp. 306-329.
Cromley, EK & McLafferty, S 2012, GIS and public health, Guilford Press.
Cuzick, J & Edvards, R 1990, Spatial clustering for inhomo-geneous populations, Journal of the Royal Statistical Soci-ety, 52, pp. 73-104.
Diggle, PJ 1983, Statistical analysis of spatial point patterns, Academic Press, London.
Durkheim, É 1951, Suicide: a study in sociology, Free Press.
ESRI 1998, Shapefile Technical Description: An ESRI White Paper, Redlands, California.
ESRI 2011, ArcGIS Desktop, Release 10, Environmental Sys-tems Research Institute, Redlands, CA.
Flint, C, Harrower, M & Edsall, R 2000, But how does place matter? using Bayesian networks to explore a structural definition of place. Paper presented at the New Method-ologies of the Social Sciences Conference, University of Colorado Boulder.
Fotheringham, AS, Brunsdon, C & Charlton, ME 2002, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, John Wiley, West Sussex, UK.
Fullerton, AS 2012, Spatial agglomeration and wages in the U.S. biotechnology sector, Sociological Spectrum, 32, pp. 61-80.
Galvis, L, Guertin, PJ & Meyer, WD 2009, Actionable cultur-al understanding for support to tactical operations: the effect of data quality on spatial analysis results. Report, ERDC/CERL TR-09-15.
Goodman, JM, Owens, PR & Libohova, Z 2012, Predicting soil organic carbon using mixed conceptual and geostatis-tical models, Digital Soil Assessments and Beyond: Pro-ceedings of the 5th Global Workshop on Digital Soil Map-ping, 10-13 April 2012, CRC Press, Sydney, Australia.
Grubesic, TH & Matisziw, TC 2006, On the use of ZIP codes and ZIP code tabulation areas (ZCTAs) for the spatial analysis of epidemiological data, International Journal of Health Geographics, 5, pp. 1-15.
Hart, TC & Zandbergen, PA 2013, Reference data and ge-ocoding quality: Examining completeness and positional accuracy of street geocoded crime incidents, Policing: An International Journal of Police Strategies & Management, 36, pp. 263-294.
Jacquez, GM 1995, The map comparison problem: tests for the overlap of geographic boundaries, Statistics in Medi-cine, 14, pp. 2343-2361.
Jones, JP & Caselli, E 1992, Applications of the expansion method, Routledge, London.
Laraia, BA, Karter, AJ, Warton, EM, et al. 2012, Place mat-ters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE), Social Science Medicine, 74, pp. 1082-1090.
Law, J & Quick, M 2013, ̒Exploring links between juvenile offenders and social disorganization at a large map scale: a Bayesian spatial modeling approach̕, Journal of Geo-graphical Systems, 15, pp. 89-113.
LeSage, JP & Pace, RK 2009, Introduction to spatial econo-metrics, CRC Press, Boca Raton.
Liu, CY & Painter, G 2012, ̒Travel behaviour among Latino immigrants: the role of ethnic concentration and ethnic employment̕, Journal of Planning Education and Research, 32, pp. 62-80.
Mansour, S, Martin, D & Wright, J 2012, ̒Problems of spatial linkage of a geo-referenced Demographic and Health Survey (DHS) dataset to a population census: A case study of Egypt̕, Computers to play video games with professional Overwatch boosting, Environment and Urban Systems, 36, pp. 350-358.
Mitchell, A 2005, The ESRI Guide to GIS Analysis, Volume 1: Geographic Patterns and Relationships and Zeroing In: Geographic Information Systems at Work in the Community, ESRI Press, US.
Openshaw, S 1993, ̒Some suggestions concerning the devel-opment of artificial intelligence tools for spatial modelling and analysis in GIS̕ in MM Fischer & P Nijkamp (eds), Geographic Information Systems, Spatial Modelling and Policy Evaluation, pp. 17-33, Springer Verlag, Berlin.
Raphael, S & Stoll, MA 2010, ̒Job sprawl and the suburbani-zation of poverty. Metropolitan Policy Program at Brook-ings̕, Metropolitan Opportunity Series, March: 1-21.
Raudenbush, SW & Bryk, AS 2002, Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd edn, Thousand Oaks, Sage Publications, California.
Reamer, AD 2010, Surveying for dollars: the role of the American Community Survey in the geographic distribution of federal funds, Metropolitan Policy Program at Brookings, Washington D.C.
Ripley, B 1976, ̒The second-order analysis of stationary point processes̕, Journal of Applied Probability, 13, pp. 255-266.
Ripley, BD 1977, ̒Modelling spatial patterns (with discus-sion)̕, Journal of the Royal Statistical Society, Series B 39, pp. 172-212.
Ripley, BD 1981, Spatial statistics, Wiley, New York.
Safner, T, Miller, MP, McRae, BH, Fortin, M & Manel, S 2011, ̒Comparison of Bayesian clustering and edge detec-tion methods for inferring boundaries in landscape genetics̕, International Journal of Molecular Sciences, 12, pp. 865-889.
Salvatore, S, Chavers, JM, Nixon, LC & McQuiddy, MR 2007, ̒From here to there: methods of allocating data be-tween census geography and socially meaningful areas̕, Social Science Research, 36, pp. 897-920.
Siordia, C & Fox, A 2013, Public Use Microdata Area frag-mentation: research and policy implications of polygon discontiguity, Spatial Demography, 1(1), pp. 42-56.
Schootman, M, Sterling, DA, Struthers, J et al. 2007, ̒Positional accuracy and geographic bias of four methods of geocoding in epidemiologic research̕, Annals of epidemiology, 17, pp. 464-470.
Srinivasan, R & Venkatesan, P 2013, ̒Bayesian model for spatial dependance and prediction of tuberculosis̕, Inter-national Journal, 3, pp. 2307-2083.
Tobler, W 1970, ̒A Computer Movie Simulating Urban Growth in the Detroit Region̕, Economic Geography, 46, pp. 234-240.
Vilalta, CJ 2011, ̒The spatial dependence of judicial data̕, Applied Spatial Analysis and Policy, pp. 1-17.
Wang, F 2010, Quantitative methods and applications in GIS, CRC Press.
Wang, Q 2007, ̒Linking home to work: ethnic labor market concentration in the San Francisco consolidated metro-politan area̕, Urban Geography, 27, pp. 72-92.
Yang, T & Matthews, SA 2012, ̒Understanding the non-stationary associations between distrust of the health care system, health conditions, and self-rated health in the el-derly: a geographically weighted regression approach̕, Health and Place, 18, pp. 576-585.
Yu, Z & Myers, D 2007, ̒Convergence or divergence in Los Angeles: three distinctive patterns of immigrant residen-tial assimilation̕, Social Science Research, 36, pp. 254-285.
Zandbergen, PA 2008, ̒Positional Accuracy of Spatial Data: Non‐Normal Distributions and a Critique of the National Standard for Spatial Data Accuracy̕, Transactions in GIS, 12, pp. 103-130.
Zandbergen, PA, Ignizio, DA & Lenzer, KE 2011, ̒Positional accuracy of TIGER 2000 and 2009 road networks̕, Trans-actions in GIS, 15, pp. 495-519.
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