A high-resolution population grid map for Europe

Journal of Maps

Volumn 9, Issue 1, 2013, Pages 16-28

  Batista e Silva, Filipe ^a,b   Gallego, Javier ^a   Lavalle, Carlo ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Accuracy; Cartography; Dasymetric mapping; Europe; GIS; Grids; Land use; Population; Soil sealing

Indexed keywords

EID: 84876733260     PISSN: None     EISSN: 17445647     Source Type: Journal    
DOI: 10.1080/17445647.2013.764830     Document Type: Article

References (37)

1. Balk, D., & Yetman, G. (2004). The global distribution of population: evaluating the gains in resolution refinement. CIESIN, Columbia University, EUA.
2. Batista e Silva, F., Lavalle, C., & Koomen, E. (2012). A procedure to obtain a refined European land use/ cover map. Journal of Land Use Science, http://www.tandfonline.com/doi/abs/10.1080/1747423X. 2012.667450.
3. Bhaduri, B. L., Bright, E. A., Coleman, P. R., & Dobson, J. E. (2002). LandScan: Locating people is what matters. Geoinformatics, 5(2), 34-37.
4. Bracken, I., & Martin, D. (1995). Linkage of the 1981 and 1991 UK censuses using surface modelling concepts. Environment & Planning A, 27(3), 379-390.
5. Briggs, D. J., Gulliver, J., Fecht, D., & Vienneau, D. M. (2007). Dasymetric modelling of small-area population distribution using land cover and light emissions data. Remote Sensing of Environment, 108, 451-466.
6. Caetano, M., Araújo, A., Nunes, V., & Carrão, H. (2008). Portugal CORINE Land Cover 2006-Accuracy Assessment of the High Resolution Built-Up Map for Continental Portugal, Technical Report, Instituto Geográfico Português, 26 pp.
7. Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood estimation from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B, 39(1), 1-38.
8. Dobson, J.E. et al. (2000). LandScan: A global population database for estimating population at risk. Photogrammetric Engineering and Remote Sensing, 66(7), 849-857.
9. Eicher, C. L., & Brewer, C. A. (2001). Dasymetric mapping and areal interpolation: Implementation and evaluation. Cartography and Geographic Information Science, 28(2), 125-138.
10. Flowerdew, R., & Green, M. (1989). Statistical methods for inference between incompatible zonal systems. The accuracy of spatial databases, pp. 239-247.
11. Flowerdew, R., Green, M., & Kehris, E. (1991). Using areal interpolation methods in GIS. Papers in Regional Science, 70(3), 303-315.
12. Fotheringham, A. S., Brunsdon, C., & Charlton, M. E. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. 282 p.
13. Gallego, F. J. (2010). A population density grid of the European Union. Population and Environment, 31(6), 460-473.
14. Gallego, F. J., Batista, F., Rocha, C., & Mubareka, S. (2011). Disaggregating population density of the European Union with CORINE Land Cover. International Journal of Geographical Information Science, 25(12), 2051-2069.
15. Gallego, F. J., & Peedell, S. (2001). Using Corine Land Cover to map population density. In European Environment Agency. Towards agri-environmental indicators: Integrating statistical and administrative data with land cover information. Copenhagen. pp. 94-105.
16. Harvey, J. T. (2002). Population estimation models based on individual TM pixels. Photogrammetric Engineering and Remote Sensing, 68(11), 1181-1192.
17. Hofstetter, C., & Herzog, A. (2011). Day Time Population, Canton of Zurich. European Forum for Geostatistics Conference, 12-14 October 2011, Lisboa, Portugal.
18. Holt, J. B., Lo, C. P., & Hodler, T. W. (2004). Dasymetric estimation of population density and areal interpolation of census data. Cartography and Geographic Information Science, 31(2), 103-121.
19. Kyriakidis, P. C. (2004). A geostatistical framework for area-to-point spatial interpolation. Geographical Analysis, 36(3), 259-289.
20. Langford, M. (2006). Obtaining population estimates in non-census reporting zones: An evaluation of the 3class dasymetric method. Computers, Environment and Urban Systems, 30(2), 161-180.
21. Langford, M. (2007). Rapid facilitation of dasymetric-based population interpolation by means of raster pixel maps. Computers, Environment and Urban Systems, 31(1), 19-32.
22. Langford, M., Maguire, D. J., & Unwin, D. J. (1991). The areal interpolation problem: Estimating population using remote sensing in a GIS framework. Handling Geographical Information, Ed: Goodchild M.F., Gopal S., Taylor and Francis. pp. 55-77.
23. Liu, X. H., Kyriakidis, P. C., & 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.
24. Lu, Z., Im, J., Quackenbush, L., & Halligan, K. (2010). Population estimation based on multi-sensor data fusion. International Journal of Remote Sensing, 31(32), 5587-5604.
25. Martin, D. (1989). Mapping population data from zone centroid locations. Transactions of the Institute of British Geographers, New Series, 14(1), 90-97.
26. Martin, D. (2011). Gridded models in the UK: beyond the 2011 census. European Forum for Geostatistics Conference, 12-14 October 2011, Lisboa, Portugal.
27. Martin, D., Tate, N. J., & Langford, M. (2000). Refining population surface models: Experiments with Northern Ireland Census Data. Transactions in GIS, 4, 343-360.
28. Mennis, J. (2003). Generating surface models of population using dasymetric mapping. The professional Geographer, 55(1), 31-42.
29. Mennis, J., & Hultgren, T. (2006). Intelligent dasymetric mapping and its application to areal interpolation. Cartography and Geographic Information Science, 33(3), 179-194.
30. Openshaw, S. (1984). The modifiable areal unit problem. Concepts and Techniques in Modern Geography, 38(Geo Books, Norwich).
31. Sanchez, B., & Kahabka, H. (2008). 2006 GMES Fast Track Service Precursor on Land Monitoring: High Resolution Core Land Cover Data-Built-Up Areas Including Degree of Soil Sealing-Delivery Report Portugal, Unpublished Report, European Environment Agency.
32. Tobler, W. R. (1979). Smooth pycnophylactic interpolation for geographical regions. Journal of the American Statistical Association, 74, 519-530.
33. Wang, L., & Wu, C. (2010). Population estimation using remote sensing and GIS technologies. International Journal of Remote Sensing, 31(21), 5569-5570.
34. Wright, J. K. (1936). A method of mapping densities of population. The Geographical Review, 26(1), 103-110.
35. Wu, C., & Murray, A. T. (2005). A cokriging method for estimating population density in urban areas. Computers, Environment and Urban Systems, 29(5), 558-579.
36. Wu, S-S., Qiu, X., & Wang, L. (2005). Population estimation methods in GIS and remote sensing: A review. GIScience and Remote Sensing, 42, 80-96.
37. Zhan, F. B., Silva, F.O. T., & Santillanaj, M. (2010). Estimating small-area population growth using geographic-knowledge-guided cellular automata. International Journal of Remote Sensing, 31(32), 5689-5707.