Disaggregating population density of the European Union with CORINE land cover

International Journal of Geographical Information Science

Volumn 25, Issue 12, 2011, Pages 2051-2069

  Gallego, F J ^a   Batista, F ^a   Rocha, C ^a   Mubareka, S ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

areal interpolation; CORINE land cover; dasymetric maps; population census; population density

Indexed keywords

ACCURACY ASSESSMENT; CARTOGRAPHY; CENSUS; ESTIMATION METHOD; EUROPEAN UNION; GIS; LAND COVER; LAND USE; MAP; POPULATION DENSITY;

AUSTRIA; DENMARK; ESTONIA; FINLAND; NETHERLANDS; NORTHERN IRELAND; SWEDEN; UNITED KINGDOM;

EID: 84859125112     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2011.583653     Document Type: Article

References (51)

1. Annoni, A. 2001. Map projections for Europe, 131Italy: JRC-Ispra. Report EUR 20120 EN
2. Barbosa, P. 2008. Assessment of forest fire impacts and emissions in the European Union based on the European Forest Fire Information System. Developments in Environmental Science, 8: 197-208.
3. Bengtsson, M., Shen, Y. and Oki, T. 2006. A SRES-based gridded population dataset for 1990-2100. Population and Environment, 28(2): 113-131.
4. Bhaduri, B. 2002. LandScan: locating people is what matters. Geoinformatics [online], 5(2): 34-37.
5. Bishop, Y., Fienberg, S. and Holland, P. 1975. Discrete multivariate analysis, Cambridge: MIT Press.
6. Bracken, I. and Martin, D. 1989. The generation of spatial population distributions from census centroid data. Environment & Planning A, 21(4): 537-543.
7. Bracken, I. and Martin, D. 1995. Linkage of the 1981 and 1991 UK censuses using surface modelling concepts. Environment & Planning A, 27(3): 379-390.
8. Briggs, D.J. 2007. Dasymetric modelling of small-area population distribution using land cover and light emissions data. Remote Sensing of Environment, 108: 451-466.
9. Center for International Earth Science Information Network (CIESIN), 2005. Gridded Population of the World (GPW), V3 [online]. New York, Columbia University. http://http://sedac.ciesin.org/plue/gpw
10. Chen, K. 2002. An approach to linking remotely sensed data and areal census data. International Journal of Remote Sensing, 23(1): 37-48.
11. Chen, K. 2004. Defining area at risk and its effect in catastrophe loss estimation: a dasymetric mapping approach. Applied Geography, 24: 97-117.
12. Dempster, A.P., Laird, N.M. and Rubin, D.B. 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society Series B, 39: 1-38.
13. Dijkstra, L. and Poelman, H. 2008. Remote rural regions: how proximity to a city influences the performance of rural regions. Regional Focus n.1 (2008) EC-DG REGIO,
14. Dobson, J.E. 2000. LandScan: a global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing, 66(7): 849-857.
15. EEA-ETC/TE, 2002. CORINE land cover update, technical guidelines [online]. http://http://www.eea.europa.eu/publications/technical_report_2002_89
16. Eicher, C. and Brewer, C. 2001. Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography and Geographic Information Science, 28: 125-138.
17. Flowerdew, R. and Green, M. 1989. "Statistical methods for inference between incompatible zonal systems". In The accuracy of spatial databases, Edited by: Goodchild, M. and Gopal, S. 239-247. London: Taylor & Francis.
18. Flowerdew, R., Green, M. and Kehris, E. 1991. Using areal interpolation methods in GIS. Papers in Regional Science, 70(3): 303-315.
19. Gallego, J. and Bamps, C. 2008. Using CORINE land cover and the point survey LUCAS for area estimation. International Journal of Applied Earth Observation and Geoinformation, 10: 467-475.
20. Gallego, F.J. and Delincé, J. 2010. "The European land use and cover area-frame statistical survey (LUCAS)". In Agricultural survey methods, Edited by: Benedetti, R., Bee, M., Espa, G. and Piersimoni, F. 151-168. John Wiley & Sons. Ch. 10. Chichester
21. Gregory, I.N. and Ell, P.S. 2005. Breaking the boundaries: integrating 200 years of the census using GIS. Journal of the Royal Statistical Society, Series A, 168: 419-437.
22. Harvey, J.T. 2002. Population estimation models based on individual TM pixels. Photogrammetric Engineering and Remote Sensing, 68(11): 1181-1192.
23. Henderson, F.M. and Xia, Z. 1997. SAR applications in human settlement detection, population estimation and urban land use pattern analysis: a status report. IEEE Transactions on Geoscience and Remote Sensing, 35(1): 79-85.
24. Hurbanek, P., et al., 2010. Accuracy of built-up area mapping in Europe at varying scales and thresholds. In: Accuracy 2010, 20-23 July, Leicester. http://www.spatialaccuracy.org/Accuracy2010
25. Isserman, A.M. 2005. In the national interest: defining rural and urban correctly in research and public policy. International Regional Science Review, 28(4): 465-499.
26. Kyriakidis, P.C. 2004. A geostatistical framework for area-to-point spatial interpolation. Geographical Analysis, 36(3): 259-289.
27. Langford, M. 2008. Urban population distribution models and service accessibility estimation. Computers, Environment and Urban Systems, 32(1): 66-80.
28. Langford, M., Maguire, D.J. and Unwin, D.J. 1991. "The areal interpolation problem: estimating population using remote sensing in a GIS framework". In Handling geographical information, Edited by: Goodchild, M.F. and Gopal, S. 55-77. Taylor & Francis.
29. Legates, D.R. and McCabe, G.J. Jr. 1999. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation. Water Resources Research, 35(1): 233-241.
30. Li, T. 2007. A comparison of spatial disaggregation techniques as applied to population estimation for South East Queensland (SEQ), Australia. Applied GIS, 3: 9
31. Liu, X., Clarke, K. and Herold, M. 2006. Population density and image texture: a comparison study. Photogrammetric Engineering and Remote Sensing, 72(2): 187-196.
32. Liu, X. and Herold, M. 2006. "Estimating population distributions in urban areas". In Urban Remote Sensing, Edited by: Weng, Q. and Quatrocchi, A. 269-290. London: CRC Press.
33. Liu, X., Kyriakidis, P.C. and Goodchild, M.F. 2008. Population-density estimation using regression and area-to-point residual kriging. International Journal of Geographical Information Science, 22(4): 431-447.
34. Maantay, J.A., Maroko, A.R. and Herrmann, C. 2007. Mapping population distribution in the urban environment: the cadastral-based expert dasymetric system (CEDS). Cartography and Geographic Information Science, 34(2): 77-102.
35. Martin, D. 1996. An assessment of surface and zonal models of population. International Journal of Geographical Information Systems, 10: 973-989.
36. Mennis, J. 2009. Dasymetric mapping for estimating population in small areas. Geography Compass, 3(2): 727-745.
37. Mrozinski, R. and Cromley, R. 1999. Singly- and doubly-constrained methods of areal interpolation for vector-based GIS. Transactions in Geographical Information Systems, 3: 285-301.
38. OECD, 2009. OECD regional typology [online]. http://http://www.oecd.org/dataoecd/35/62/42392595.pdf (Accessed: 2 April 2011).
39. Reibel, M. and Agrawal, A. 2007. Areal interpolation of population counts using pre-classified land cover data. Population Research and Policy Review, 26(5-6): 619-633.
40. Reibel, M. and Bufalino, M. 2005. Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems. Environment and Planning A, 37(1): 127-139.
41. Stehman, S.V. 2009. Sampling designs for accuracy assessment of land cover. International Journal of Remote Sensing, 30(20): 5243-5272.
42. Sutton, P. 2001. Census from heaven: an estimate of the global human population using night-time satellite imagery. International Journal of Remote Sensing, 22(16): 3061-3076.
43. Thieken, A. 2006. Regionalisation of asset values for risk analyses. Natural Hazards and Earth System Sciences, 6: 167-178.
44. Tobler, W.R. 1979. Smooth pycnophylactic interpolation for geographical regions. Journal of the American Statistical Association, 74: 519-530.
45. Tralli, D.M. 2005. Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. ISPRS Journal of Photogrammetry and Remote Sensing, 59(4): 185-198.
46. Vinkx, K. and Visée, T. Usefulness of population files for estimation of noise hindrance effects. ICAO Committee on Aviation Environmental Protection. CAEP/8 modelling and database task force (MODTF), 4th meeting. February20-222008, Sunnyvale, USA.
47. Willmott, C.J. and Matsuura, K. 2005. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Research, 30(1): 79-82.
48. Woods, M. 2009. Rural geography: blurring boundaries and making connections. Progress in Human Geography, 33(6): 849-858.
49. Wu, C. and Murray, A.T. 2005. A cokriging method for estimating population density in urban areas. Computers, Environment and Urban Systems, 29(5): 558-579.
50. Xie, Y. 1995. The overlaid network algorithms for areal interpolation problem. Computers, Environment and Urban Systems, 19(4): 287-306.
51. Yuan, Y., Smith, R.M. and Limp, W.F. 1997. Remodeling census population with spatial information from landsat TM imagery. Computers, Environment and Urban Systems, 21(3-4): 245-258.