A high-resolution population grid map for Europe

References

• Balk, D., & Yetman, G. (2004). The global distribution of population: evaluating the gains in resolution refinement. CIESIN, Columbia University, EUA..
   Google Scholar
• Batista e Silva, F. , Lavalle, C. , and Koomen, E. , 2012. A procedure to obtain a refined European land use/cover map , Journal of Land Use Science (2012), http://www.tandfonline.com/doi/abs/10.1080/1747423X.2012.667450.
   Google Scholar
• Bhaduri, B. L. , Bright, E. A. , Coleman, P. R. , and Dobson, J. E. , 2002. LandScan: Locating people is what matters , Geoinformatics 5 (2) (2002), pp. 34–37.
   Google Scholar
• Bracken, I. , and Martin, D. , 1995. Linkage of the 1981 and 1991 UK censuses using surface modelling concepts , Environment & Planning A 27 (3) (1995), pp. 379–390, (doi:10.1068/a270379).
   PubMed Web of Science ®Google Scholar
• Briggs, D. J. , Gulliver, J. , Fecht, D. , and Vienneau, D. M. , 2007. Dasymetric modelling of small-area population distribution using land cover and light emissions data , Remote Sensing of Environment 108 (2007), pp. 451–466, (doi:10.1016/j.rse.2006.11.020).
   Web of Science ®Google Scholar
• 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..
   Google Scholar
• Dempster, A. P. , Laird, N. M. , and Rubin, D. B. , 1977. Maximum likelihood estimation from incomplete data via the EM algorithm , Journal of the Royal Statistical Society B 39 (1) (1977), pp. 1–38.
   Google Scholar
• Dobson, J. E. , et al., 2000. LandScan: A global population database for estimating population at risk , Photogrammetric Engineering and Remote Sensing 66 (7) (2000), pp. 849–857.
   Web of Science ®Google Scholar
• Eicher, C. L. , and Brewer, C. A. , 2001. Dasymetric mapping and areal interpolation: Implementation and evaluation , Cartography and Geographic Information Science 28 (2) (2001), pp. 125–138, (doi:10.1559/152304001782173727).
   Google Scholar
• Flowerdew, R., & Green, M. (1989). Statistical methods for inference between incompatible zonal systems. The accuracy of spatial databases, pp. 239–247..
   Google Scholar
• Flowerdew, R. , Green, M. , and Kehris, E. , 1991. Using areal interpolation methods in GIS , Papers in Regional Science 70 (3) (1991), pp. 303–315, (doi:10.1007/BF01434424).
   Google Scholar
• Fotheringham, A. S., Brunsdon, C., & Charlton, M. E. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. 282 p..
   Google Scholar
• Gallego, F. J. , 2010. A population density grid of the European Union , Population and Environment 31 (6) (2010), pp. 460–473, (doi:10.1007/s11111-010-0108-y).
   Web of Science ®Google Scholar
• Gallego, F. J. , Batista, F. , Rocha, C. , and Mubareka, S. , 2011. Disaggregating population density of the European Union with CORINE Land Cover , International Journal of Geographical Information Science 25 (12) (2011), pp. 2051–2069, (doi:10.1080/13658816.2011.583653).
   Web of Science ®Google Scholar
• 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..
   Google Scholar
• Harvey, J. T. , 2002. Population estimation models based on individual TM pixels , Photogrammetric Engineering and Remote Sensing 68 (11) (2002), pp. 1181–1192.
   Web of Science ®Google Scholar
• Hofstetter, C., & Herzog, A. (2011). Day Time Population, Canton of Zurich. European Forum for Geostatistics Conference, 12-14 October 2011, Lisboa, Portugal..
   Google Scholar
• Holt, J. B. , Lo, C. P. , and Hodler, T. W. , 2004. Dasymetric estimation of population density and areal interpolation of census data , Cartography and Geographic Information Science 31 (2) (2004), pp. 103–121, (doi:10.1559/1523040041649407).
   Google Scholar
• Kyriakidis, P. C. , 2004. A geostatistical framework for area-to-point spatial interpolation , Geographical Analysis 36 (3) (2004), pp. 259–289.
   Web of Science ®Google Scholar
• Langford, M. , 2006. Obtaining population estimates in non-census reporting zones: An evaluation of the 3-class dasymetric method , Computers, Environment and Urban Systems 30 (2) (2006), pp. 161–180, (doi:10.1016/j.compenvurbsys.2004.07.001).
   Web of Science ®Google Scholar
• Langford, M. , 2007. Rapid facilitation of dasymetric-based population interpolation by means of raster pixel maps , Computers, Environment and Urban Systems 31 (1) (2007), pp. 19–32, (doi:10.1016/j.compenvurbsys.2005.07.005).
   Web of Science ®Google Scholar
• 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..
   Google Scholar
• Liu, X. H. , 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) (2008), pp. 431–447, (doi:10.1080/13658810701492225).
   Web of Science ®Google Scholar
• Lu, Z. , Im, J. , Quackenbush, L. , and Halligan, K. , 2010. Population estimation based on multi-sensor data fusion , International Journal of Remote Sensing 31 (32) (2010), pp. 5587–5604, (doi:10.1080/01431161.2010.496801).
   Web of Science ®Google Scholar
• Martin, D. , 1989. Mapping population data from zone centroid locations , Transactions of the Institute of British Geographers, New Series 14 (1) (1989), pp. 90–97, (doi:10.2307/622344).
   PubMed Web of Science ®Google Scholar
• Martin, D. (2011). Gridded models in the UK: beyond the 2011 census. European Forum for Geostatistics Conference, 12–14 October 2011, Lisboa, Portugal..
   Google Scholar
• Martin, D. , Tate, N. J. , and Langford, M. , 2000. Refining population surface models: Experiments with Northern Ireland Census Data , Transactions in GIS 4 (2000), pp. 343–360, (doi:10.1111/1467-9671.00060).
   Google Scholar
• Mennis, J. , 2003. Generating surface models of population using dasymetric mapping , The professional Geographer 55 (1) (2003), pp. 31–42.
   Web of Science ®Google Scholar
• Mennis, J. , and Hultgren, T. , 2006. Intelligent dasymetric mapping and its application to areal interpolation , Cartography and Geographic Information Science 33 (3) (2006), pp. 179–194, (doi:10.1559/152304006779077309).
   Google Scholar
• Openshaw, S. (1984). The modifiable areal unit problem. Concepts and Techniques in Modern Geography, 38 (Geo Books, Norwich)..
   Google Scholar
• 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..
   Google Scholar
• Tobler, W. R. , 1979. Smooth pycnophylactic interpolation for geographical regions , Journal of the American Statistical Association 74 (1979), pp. 519–530, (doi:10.1080/01621459.1979.10481647).
   PubMed Web of Science ®Google Scholar
• Wang, L. , and Wu, C. , 2010. Population estimation using remote sensing and GIS technologies , International Journal of Remote Sensing 31 (21) (2010), pp. 5569–5570, (doi:10.1080/01431161.2010.496809).
   Web of Science ®Google Scholar
• Wright, J. K. , 1936. A method of mapping densities of population , The Geographical Review 26 (1) (1936), pp. 103–110, (doi:10.2307/209467).
   Google Scholar
• Wu, C. , and Murray, A. T. , 2005. A cokriging method for estimating population density in urban areas , Computers, Environment and Urban Systems 29 (5) (2005), pp. 558–579, (doi:10.1016/j.compenvurbsys.2005.01.006).
   Google Scholar
• Wu, S-S. , Qiu, X. , and Wang, L. , 2005. Population estimation methods in GIS and remote sensing: A review , GIScience and Remote Sensing 42 (2005), pp. 80–96, (doi:10.2747/1548-1603.42.1.80).
   Google Scholar
• Zhan, F. B. , Silva, F. O. T. , and Santillanaj, M. , 2010. Estimating small-area population growth using geographic-knowledge-guided cellular automata , International Journal of Remote Sensing 31 (32) (2010), pp. 5689–5707, (doi:10.1080/01431161.2010.496802).
   Web of Science ®Google Scholar