Improving Small-Area Population Estimation: An Integrated Geographic and Demographic Approach

Annals of the Association of American Geographers

Volumn 103, Issue 5, 2013, Pages 1123-1141

  Deng, Chengbin ^a   Wu, Changshan ^a  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

GIS remote sensing techniques; housing unit method; small area population estimation

Indexed keywords

ERROR ANALYSIS; GIS; POPULATION ESTIMATION; REMOTE SENSING; SENSITIVITY ANALYSIS;

EID: 84883475650     PISSN: 00045608     EISSN: 14678306     Source Type: Journal    
DOI: 10.1080/00045608.2013.770364     Document Type: Article

References (92)

1. Anderson, J. R., Hardy, E. E., Roach, J. T. and Witmer, R. E. 1976. " A land use and land cover classification system for use with remote sensor data. Professional Paper No. 964 ". Washington, DC: U.S. Geological Survey.
2. Bauer, M. E., Heinert, N. J., Doyle, J. K. and Yuan, F. 2004. " Impervious surface mapping and change monitoring using Landsat remote sensing ". In Proceedings of the American Society of Photogrammetry and Remote Sensing Annual Conference [CD-ROM]
3. Bikker, J. A. and de Vos, A. F. 1992. A regional supply and demand model for inpatient hospital care. Environment and Planning A, 24 (8): 1097 - 1116.
4. Birkin, M., Clarke, G., Clarke, M. and Wilson, A. 1996. Intelligent GIS: Location decisions and strategic planning, Cambridge, UK: GeoInformation International.
5. Bouwer, L. M., Crompton, R. P., Faust, E., Höppe, P. and Pielke, R. A. Jr. 2007. Confronting disaster losses. Science, 318 (5851): 753
6. Breiman, L., Friedman, J., Olshen, R. and Stone, C. 1984. Classification and regression trees., Belmont, CA: Wadsworth.
7. Cai, Q. 2007. New techniques in small area population estimates by demographic characteristics. Population Research and Policy Review, 26 (2): 203 - 18.
8. Chen, K. 2002. An approach to linking remotely sensed data and areal census data. International Journal of Remote Sensing, 23: 37 - 48.
9. Church, R. L. and Murray, A. T. 2009. Business site selection, location analysis and GIS., New York: Wiley.
10. Collins, W. G. and El-Beik, A. H. A. 1971. Population census with the aid of aerial photographs: An experiment in the city of Leeds. Photogrammetric Record, 7: 16 - 26.
11. Deng, C., Wu, C. and Wang, L. 2010. Improving housing unit method for small area population estimation using remote sensing and GIS Information. International Journal of Remote Sensing, 31 (21): 5673 - 88.
12. Dueker, K. and Horton, F. 1971. " Toward geographic urban change detection systems with remote sensing inputs ". In Proceedings of the American Society of Photogrammetry 37th Annual Meeting, 204 - 18. Falls Church, VA: American Society of Photogrammetry.
13. England, J. 2000. Retail impact assessment: A guide to best practice, London and New York: Routledge.
14. Epstein, B. J. 1984. " Market appraisals ". In Store location and store assessment research, Edited by: Davies, R. L. and Rogers, D. S. New York: Wiley., 195-214
15. Fielding, J. 2007. Environmental injustice or just the lie of the land: An investigation of the socio-economic class of those at risk from flooding in England and Wales. Sociological Research Online, 12 (4): 4
16. Ghosh, A. and McLafferty, S. L. 1987. Location strategies for retail and service firms, Lexington, MA: Lexington Books.
17. Ghosh, M. and Rao, J. N. K. 1994. Small area estimation: An appraisal. Statistical Science, 9 (1): 55 - 76.
18. Gober, P. 1990. " The urban demographic landscape: A geographic perspective ". In Housing demography: Linking demographic structure and housing markets, Edited by: Myers, D. 109 - 30. Madison: University of Wisconsin Press.
19. Harvey, J. T. 2002a. Estimating census district populations from satellite imagery: Some approaches and limitations. International Journal of Remote Sensing, 23 (10): 2071 - 95.
20. Harvey, J. T. 2002b. Population estimation models based on individual TM pixels. Photogrammetric Engineering and Remote Sensing, 68 (11): 1181 - 92.
21. Horner, M. W. and Downs, J. A. 2010. Optimizing hurricane disaster relief goods distribution: Model development and applications with respect to planning strategies. Disasters, 34 (3): 821 - 44.
22. Horner, M. W. and Murray, A. T. 2004. Spatial representation and scale impacts in transit service assessment. Environment and Planning B: Planning and Design, 31: 785 - 97.
23. Hsu, S. Y. 1971. Population estimation. Photogrammetric Engineering, 37: 449 - 54.
24. Hsu, S. Y. 1973. " Population estimation from ERTS imagery: Methodology and evaluation ". In Proceedings of the American Society of Photogrammetry 39th Annual Meeting, 583 - 91. Falls Church, VA: American Society of Photogrammetry.
25. Keeley, J. E., Fotheringham, C. J. and Morais, M. 1999. Reexamining fire suppression impacts on brushland fire regimes. Science, 284: 1829 - 32.
26. Kimpel, T. and Lowe, T. 2007. " Estimating household size for use in population estimates. Population Estimates and Projections, Research Brief No. 47 ". Olympia, WA: Washington State Office of Financial Management.
27. Kobrin, F. 1976. The fall in household size and the rise of the primary individual in the United States. Demography, 13: 127 - 38.
28. Kraus, S. P., Senger, L. W. and Ryerson, J. M. 1974. Estimating population from photographically determined residential land use types. Remote Sensing of Environment, 3 (1): 35 - 42.
29. Kwak, Y., Hasegaw, A., Inomata, H., Magome, J., Fukami, K. and Takeuchi, K. 2011. A new assessment methodology for flood risk: A case study in the Indus River basin. Risk in water resources management: Proceedings of symposium H03, IUGG2011, 347: 55 - 60.
30. Kwan-Gett, T. S., Baer, A. and Duchin, J. S. 2009. Spring 2009 H1N1 influenza outbreak in King County, Washington. Disaster Medicine and Public Health Preparedness, 3: 109 - 16.
31. Lo, C. P. 1986a. Accuracy of population estimation from medium-scale aerial photography. Photogrammetric Engineering and Remote Sensing, 52: 1859 - 69.
32. Lo, C. P. 1986b. Applied remote sensing, London: Longman.
33. Lo, C. P. 1995. Automated population and dwelling unit estimation from high-resolution satellite images-A GIS approach. International Journal of Remote Sensing, 16 (1): 17 - 34.
34. Lo, C. P. 2003. " Zone-based estimation of population and housing units from satellite-generated land use/land cover maps ". In Remotely sensed cities, Edited by: Mesev, V. 157 - 80. London and New York: Taylor & Francis.
35. Lo, C. P. and Chan, H. F. 1980. Rural population estimation from aerial photographs. Photogrammetric Engineering and Remote Sensing, 46: 337 - 45.
36. Lu, Z., Im, J. and Quackenbush, L. J. 2011. A volumetric approach to population estimation using LiDAR remote sensing. Photogrammetric Engineering and Remote Sensing, 77 (11): 1145 - 56.
37. Maantay, J. A. and Maroko, A. R. 2009. Mapping urban risk: Flood hazards, race, & environmental justice in New York. Applied Geography, 29 (1): 111 - 24.
38. Maliszewski, P. J., Kuby, M. J. and Horner, M. W. 2012. A comparison of multi-objective spatial dispersion models for managing critical assets in urban areas. Computers, Environment and Urban Systems, 36 (4): 331 - 41.
39. Martin, D. and Williams, H. C. W. L. 1992. Market-area analysis and accessibility to primary health-care centers. Environment and Planning A, 24: 1009 - 19.
40. Martin, J. H. and Serow, W. J. 1978. Estimating demographic characteristics using the ratio correlation method. Demography, 15: 223 - 33.
41. Mathworks. 2000. Matlab user's guide, Natick, MA: Mathworks Inc.
42. Mennis, J. 2002. Using geographic information systems to create and analyze statistical surfaces of population and risk for environmental justice analysis. Social Science Quarterly, 83: 281 - 97.
43. Mennis, J. 2011. " Integrating remote sensing and GIS for environmental justice research ". In Urban remote sensing: Monitoring, synthesis and modeling in the urban environment Edited by: Yang, X. 225 - 37. New York: Wiley.
44. Mercurio, J. 1984. " Store location strategies ". In Store location and store assessment research, Edited by: Davies, R. L. and Rogers, D. S. New York: Wiley., 237-62
45. Mesev, V. 2005. Identification and characterization of urban building patterns using IKONOS imagery and point-based postal data. Computers, Environment and Urban Systems, 29: 541 - 57.
46. Mesev, V. 2007. Fusion of point-based urban data with IKONOS imagery for locating urban neighborhood features and patterns. Information Fusion, 8: 157 - 67.
47. Murray, A. T., Davis, R., Stimson, R. J. and Ferreira, L. 1998. Public transportation access. Transportation Research D, 3: 319 - 28.
48. Myers, D. and Doyle, A. 1990. " Age-specific population-per-household ratios: Linking population age structure with housing characteristics ". In Housing demography: Linking demographic structure and housing markets, Edited by: Myers, D. 109 - 30. Madison: University of Wisconsin Press.
49. Norman, P., Purdam, K., Tajar, A. and Simpson, L. 2007. Representation and local democracy: Geographical variations in elector to councillor ratios. Political Geography, 26 (1): 57 - 77.
50. Perry, M. and Voss, P. 1996. " Using geo-demographic methods for improving small area estimates. Working Paper No. 96-15 ". Madison, WI: Center for Demography and Ecology, University of Wisconsin-Madison.
51. Phinn, S., Stanford, M., Scarth, P., Murray, A. T. and Shyy, P. T. 2002. Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniques. International Journal of Remote Sensing, 23 (20): 4131 - 53.
52. Plane, D. A. and Rogerson, P. A. 1994. The geographical analysis of population with applications to business and planning, New York: Wiley.
53. Qiu, F., Woller, K. L. and Briggs, R. 2003. Modelling urban population growth from remotely sensed imagery and TIGER GIS road data. Photogrammetric Engineering and Remote Sensing, 69 (9): 1031 - 42.
54. Rashed, T., Weeks, J. R., Roberts, D., Rogan, J. and Powell, R. 2003. Measuring the physical composition of urban morphology using multiple endmember spectral mixture models. Photogrammetric Engineering and Remote Sensing, 69: 1011 - 20.
55. Rees, P., Norman, P. and Brown, D. G. 2004. A framework for progressively improving small area population estimates. Journal of the Royal Statistical Society Series A, 167 (1): 5 - 36.
56. Reid, C. E., O'Neill, M. S., Gronlund, C. J., Brines, S. J., Brown, D. G., Diez-Roux, A. V. and Schwartz, J. 2009. Mapping community determinants of heat vulnerability. Environmental Health Perspectives, 117: 1730 - 36.
57. Sathe, A. and Miller-Hooks, E. 2005. Optimizing location and relocation of response units in guarding critical facilities. Transportation Research Record, 1923: 127 - 36.
58. Schueler, T. 1994. The importance of imperviousness. Watershed Protection Techniques, 1: 100 - 11.
59. Silván-Cárdenas, J. L., Wang, L., Rogerson, P., Wu, C., Feng, T. and Kamphaus, B. D. 2010. Assessing fine-spatial-resolution remote sensing for small-area population estimation. International Journal of Remote Sensing, 31 (21): 5605 - 34.
60. Simmons, M. 1984. " Store assessment procedure ". In Store location and store assessment research, Edited by: Davies, R. L. and Rogers, D. S. New York: Wiley., 263-78
61. Small, C. 2001. Estimation of urban vegetation abundance by spectral mixture analysis. International Journal of Remote Sensing, 22: 1305 - 34.
62. Smith, S. K. 1986. A review and evaluation of the housing unit method of population estimation. Journal of the American Statistical Association, 81 (394): 287 - 96.
63. Smith, S. K. and Cody, S. 1994. Evaluating the housing unit method: A case study of 1990 population estimates in Florida. Journal of the American Planning Association, 60 (2): 209 - 21.
64. Smith, S. K. and Cody, S. 2004. An evaluation of population estimates in Florida: April 1, 2000. Population Research and Policy Review, 23: 1 - 24.
65. Smith, S. K. and Cody, S. 2011. An evaluation of population estimates in Florida: April 1, 2010. Special Population Reports, Number 8, http://www.bebr.ufl.edu/sites/default/files/SPR_8.pdf (last accessed 23 August 2011)
66. Smith, S. K. and Lewis, B. 1980. Some new techniques for applying the housing unit method of local population estimation. Demography, 17: 323 - 39.
67. Smith, S. K. and Mandell, M. 1984. A comparison of population estimation methods: Housing unit versus Component II, ratio correlation, and administrative records. Journal of the American Statistical Association, 79: 282 - 89.
68. Smith, S. K., Nogle, J. and Cody, S. 2002. A regression approach to estimating the average number of persons per household. Demography, 39 (4): 697 - 712.
69. Southeastern Wisconsin Regional Planning Commission (SEWRPC). 2000. Land use classifications and codes: SEWRPC regional land use inventory 2000, Waukesha, WI: SEWRPC.
70. Southeastern Wisconsin Regional Planning Commission (SEWRPC). 2004. " The population of southeastern Wisconsin. Technical Report No. 11. Waukesha, WI: SEWP- RC ". http://www.sewrpc.org/publications/techrep/tr-011_population_southeastern_wisconsin.pdf (last assessed 26 November 2009)
71. Starsinic, D. E. and Zitter, M. 1968. Accuracy of the housing unit method in preparing population estimates for cities. Demography, 5 (1): 475 - 84.
72. Stone, G., Lekht, A., Burris, N. and Williams, C. 2007. Data collection and communications in the public health response to a disaster: Rapid population estimate surveys and the daily dashboard in post-Katrina New Orleans. Journal of Public Health Management and Practice, 13 (5): 453 - 60.
73. Sutton, P., Roberts, D., Elvidge, C. and Melj, H. 1997. A comparison of nighttime satellite imagery and population density for the continental United States. Photogrammetric Engineering and Remote Sensing, 63: 1303 - 13.
74. Swanson, D. A. and Hough, G. C. 2012. An evaluation of persons per household (PPH) estimates generated by the American community survey: A demographic perspective. Population Research and Policy Review, 31 (2): 235 - 66.
75. Taylor, M. 2009. " IKONOS planetary reflectance and mean solar exoatmospheric irradiance. GeoEye Technical paper ". http://www.geoeye.com/CorpSite/assets/docs/technical-papers/2009/IKONOS_Esun_Calculations.pdf (last assessed 30 November 2012)
76. Underwood, E. C., Viers, J. H., Klausmeyer, K. R., Cox, R. L. and Shaw, M. R. 2009. Threats and biodiversity in the Mediterranean biome. Diversity and Distributions, 15: 188 - 97.
77. U.S. Census Bureau. 1998. " Subcounty population estimates methodology ". http://www.census.gov/population/methods/e98scdoc.txt (last accessed 27 May 2009)
78. U.S. Census Bureau. 2004. " Estimates and projections area documentation: Subcounty total population estimates ". http://www.census.gov/popest/topics/methodology/2004_su_meth.html (last accessed 28 May 2009)
79. U.S. Census Bureau. 2010. " Methodology for subcounty total resident population estimates (Vintage 2009): April 1, 2000 to July 1, 2009 ". http://www.census.gov/popest/topics/methodology/2009-su-meth.pdf (last accessed 30 November 2010)
80. Watkins, J. F. 1984. The effect of residential structure variation on dwelling unit enumeration from aerial photographs. Photogrammetric Engineering and Remote Sensing, 50 (11): 1599 - 1607.
81. Watkins, J. F. and Morrow-Jones, H. A. 1985. Small area population estimates using aerial photography. Photogrammetric Engineering and Remote Sensing, 51: 1933 - 35.
82. Widener, M. J. and Horner, M. W. 2011. A hierarchical approach to modeling hurricane disaster relief goods distribution. Journal of Transport Geography, 19 (4): 821 - 28.
83. Wilhelmi, O. V. and Hayden, M. H. 2010. Connecting people and place: A new framework for reducing urban vulnerability to extreme heat. Environmental Research Letters, 5: 014021
84. Wilson, B. L. 1984. " Modern methods of sales forecasting: Regression models ". In Store location and store assessment research, Edited by: Davies, R. L. and Rogers, D. S. New York: Wiley., 301-18
85. Wu, C. 2004. Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery. Remote Sensing of Environment, 93: 480 - 92.
86. Wu, C. 2009. Quantifying high-resolution impervious surfaces using spectral mixture analysis. International Journal of Remote Sensing, 30 (11): 2915 - 32.
87. Wu, C. and Murray, A. T. 2003. Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment, 84: 493 - 505.
88. Wu, C. and Murray, A. T. 2005. Optimizing public transit quality and system access: The multiple-route, maximal covering/shortest-path problem. Environment and Planning B: Planning and Design, 32 (2): 163 - 78.
89. Wu, C. and Murray, A. T. 2007. Population estimation using Landsat Enhanced Thematic Mapper Imagery. Geographical Analysis, 39: 26 - 43.
90. Wu, F. and Martin, D. 2002. Urban expansion simulation of Southeast England using population surface modeling and cellular automata. Environment and Planning A, 34: 1855 - 76.
91. Yeh, A. G. and Li, X. 2002. A cellular automata model to simulate development density for urban planning. Environment and Planning B: Planning and Design, 29: 431 - 50.
92. Zandbergen, P. A. 2011. Dasymetric mapping using high resolution address point datasets. Transactions in GIS, 15 (Suppl. 1): 5 - 27.