Estimating denominators: Satellite-based population estimates at a fine spatial resolution in a European Urban Area

Epidemiology

Volumn 20, Issue 2, 2009, Pages 214-222

  Viel, Jean François ^a,d   Tran, Annelise ^b,c  

^a UNIVERSITÉ DE FRANCHE COMTÉ   (France)

^b UMR TETIS   (France)

^c International Development Epidemiology and Ecology of Animal Diseases Unit   (France)

^d NONE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BREAST CANCER; CORRELATION COEFFICIENT; DECISION MAKING; EUROPE; HUMAN; INCIDENCE; NONHODGKIN LYMPHOMA; POPULATION DENSITY; POPULATION RESEARCH; POPULATION SIZE; PRIORITY JOURNAL; RELIABILITY; THEMATIC ANALYSIS; URBAN AREA; FRANCE; SPACE FLIGHT; URBAN POPULATION;

CENSUSES; FRANCE; HUMANS; POPULATION DENSITY; SPACECRAFT; URBAN POPULATION;

EID: 66149119398     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/EDE.0b013e31819670dc     Document Type: Article

References (36)

1. Fein DJ. Racial and ethnic differences in U.S. census omission rates. Demography. 1990;27:285-302.
2. Raleigh VS, Balarajan R. Public health and the 1991 census. BMJ. 1994;309:287-288.
3. Wittie PS, Drane W, Aldrich TE. Classification methods for denominators in small areas. Stat Med. 1996;15:1921-1926.
4. Harvey JT. Population estimation models based on individual TP pixels. Photogram Eng Remote Sensing. 2002;68:1181-1192.
5. Harvey JT. Estimating census district populations from satellite imagery: some approaches and limitations. Int J Remote Sens. 2002;23:2071-2095.
6. Beck LR, Lobitz BM, Wood BL. Remote sensing and human health: new sensors and new opportunities. Emerg Infect Dis. 2000;6:217-227.
7. Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA. LandScan: a population database for estimating population at risk. Photogram Eng Remote Sens. 2000;66:849-857.
8. Tran A, Gardon J, Weber S, et al. Mapping disease incidence in suburban areas using remotely sensed data. Am J Epidemiol. 2002;156: 662-668.
9. Global Land Cover Facility, University of Maryland. Available at: http://glcfapp.umiacs.umd.edu:8080/esdi/index.jsp. Accessed November 17, 2008.
10. Fromm FR, Northhouse RA. Class: a nonparametric clustering algorithm. Pattern Recognit Lett. 1976;8:107-114.
11. Richards JA. Remote Sens Digital Analysis. Berlin, Germany: Springer-Verlag; 1994.
12. Reibel M. Geographic information systems and spatial data processing in demography: a review. Popul Res Policy Rev. 2007;26:601-618.
13. Tobler W. Smooth pycnophylactic interpolation for geographical regions (with discussion). J Am Stat Assoc. 1979;74:519:53.
14. Steinhauser K, Weichselbaum, Köstl M. Linking remote sensing and demographic analysis in urbanised areas. 1st EARSeL Workshop of the SIG Urban Remote Sensing, Humboldt-Universität zu Berlin, 2-3 March
15. Available at: http://www.earsel.org/workshops/SIGURS-2006/PDF/Session1- steinnocher.pdf. Accessed November 17, 2008.
16. Land Scan™ Global Population Database. Oak Ridge, TN: Oak Ridge National Laboratory. Available at: http://www.ornl.gov/landscan/. Accessed August 8, 2007.
17. McGraw KO, Wong SP. Forming inference s about some intraclass correlation coefficients. Psychol Methods. 1996;1:30-46.
18. Faggiano F, Partanen T, Kogevinas M, et al. Socioeconomic differences in cancer incidence and mortality. In: Kogevinas M, Pearce N, Susser M, et al, eds. Social Inequalities and Cancer. Lyon, France: International Agency for Research on Cancer; 1997:65-176. (IARC scientific publication no. 138).
19. Floret N, Mauny F, Challier B, Arveux P, Cahn JY, Viel JF. Dioxin emissions from a solid waste incinerator and risk of non-Hodgkin lymphoma. Epidemiology. 2003;14:392-398.
20. Viel JF, Clément MC, Hägi M, Grandjean S, Challier B, Danzon A. Dioxin emissions from a municipal solid waste incinerator and risk of invasive breast cancer: a population-based case-control study with GIS-derived exposure. Int J Health Geogr. 2008;7:4.
21. Flowerdew R, Green M. Developments in areal interpolation methods and GIS. Ann Reg Sci. 1992;26:67-78.
22. Muggling AS, Carlin BP. Hierarchical modeling in geographic information systems: population interpolation over incompatible zones. J Agric Biol Environ Stat. 1998;3:117-130.
23. Gotway CA, Young LJ. Combining incompatible spatial data. J Am Stat Assoc. 2002;97:632-648.
24. Strahler AH, Boschetti L, Foody GM, et al. Global Land Cover Validation: Recommendations for Evaluation and Accuracy Assessment of Global Land Cover Maps. Luxembourg;
25. Office for Official Publications of the European Communities. Available at: http://ies.jrc.ec.europa.eu/uploads/fileadmin/Documentation/Reports/Global- Vegetation-Monitoring/EUR-2006-2007/EUR-22156-EN.pdf. Accessed November 17, 2008.
26. Openshaw S. The Modifiable Areal Unit Problem. Norwich, UK: Geo-books; 1984.
27. Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. Hoboken, NJ: Wiley; 2004.
28. Best NG, Ickstadt K, Wolpert RL. Spatial Poisson regression for health and exposure data measured at disparate resolutions. J Am Stat Assoc. 2000;85:1076-1088.
29. Iisaka J. Population estimation from Landsat imagery. Remote Sens Environ. 1982;12:259-272.
30. Schmidt CW. Sprawl: the new manifest destiny? Environ Health Perspect. 2004;112:A621-A627.
31. Angel S, Sheppard SC, Civco DL. The Dynamics of Global Urban Expansion. Washington DC: Transport and Urban Development Department, the World Bank, September
32. Available at: http://www.williams.edu/Economics/UrbanGrowth/ WorkingPapers-files/WorldBankReportSept2005CityMapPortrait.pdf. Accessed November 17, 2008.
33. Jensen JR, Cowen DC. Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogram Eng Remote Sens. 1999;65: 611-622.
34. European Environment Agency. Urban Sprawl in Europe. The Ignored Challenge. EEA Report No
35. Office for Official Publications of the European Communities, Luxembourg,
36. Available at: http://reports.eea.europa.eu/eea-report-2006-10/en/eea- report-10-2006.pdf. Accessed November 17, 2008.