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High-Resolution Population Grids for the Entire Conterminous United States

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Advances in Geocomputation

Part of the book series: Advances in Geographic Information Science ((AGIS))

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Abstract

To have a more complete awareness of the global environment and how it changes, remotely sensed data pertaining to the physical aspects of the environment need to be complemented by broad-scale demographic data having high spatial resolution. Although such data are available for many parts of the world, there are none available for the United States. Here we report on our ongoing project to develop high-resolution (30–90 m/cell) population/demographic grids for the entire conterminous United States and to bring them into the public domain. Two different, dasymetric modeling-based approaches to disaggregation of block-level census data into a fine grid are described, and resulting maps are compared to existing resources. We also show how to utilize these methods to obtain racial diversity grids for the entire conterminous United States. Our nationwide grids of population and racial diversity can be explored using the online application SocScape at http://sil.uc.edu.

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References

  • Anderson JR, Hardy EE, Roach JT, Witmer RE (1976) A land use and land cover classification system for use with remote sensor data. Tech rep, Geological Survey Professional Paper 964

    Google Scholar 

  • Bhaduri B, Bright E, Coleman P, Dobson J (2002) LandScan: locating people is what matters. Geoinformatics 5(2):34–37

    Google Scholar 

  • Bhaduri B, Bright E, Coleman P, Urban ML (2007) LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics. GeoJournal 69(1–2):103–117

    Article  Google Scholar 

  • Chen K, McAneney J, Blong R, Leigh R, Hunter L, Magill C (2004) Defining area at risk and its effect in catastrophe loss estimation: a dasymetric mapping approach. Appl Geogr 24(2):97–117

    Article  Google Scholar 

  • Dmowska A, Stepinski TF (2014) High resolution dasymetric model of US demographics with application to spatial distribution of racial diversity. Appl Geogr 53:417–426

    Article  Google Scholar 

  • Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA (2000) LandScan: a global population database for estimating populations at risk. Photogram Eng Remote Sens 66(7):849–857

    Google Scholar 

  • Dong P, Sathya R, Nepali A (2010) Evaluation of small-area population estimation using LiDAR, Landsat TM and parcel data. Int J Remote Sens 31(2):5571–5586

    Article  Google Scholar 

  • Eicher CL, Brewer CA (2001) Dasymetric mapping and areal interpolation: implementation and evaluation. Cartogr Geogr Inf Sci 28:125–138

    Article  Google Scholar 

  • Fry JA, Coan MJ, Homer CG, Meyer DK, Wickham JF (2009) Completion of the National Land Cover Database (NLCD) 1992–2001 land cover change retrofit product. Tech rep, U.S. Geological Survey Open-File Report 2008–1379

    Google Scholar 

  • Gallego FJ (2010) A population density grid of the European Union. Popul Environ 31(6):460–473

    Article  Google Scholar 

  • Gallego FJ, Batista F, Rocha C, Mubareka S (2011) Disaggregating population density of the European Union with CORINE land cover. Int J Geogr Inf Sci 25(12):2051–2069

    Article  Google Scholar 

  • Gaughan AE, Stevens FR, Linard C, Jia P, Tatem AJ (2013) High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS One 8(2):e55,882

    Google Scholar 

  • Goodchild M, Anselin L, Deichmann U (1993) A framework for the areal interpolation of socioeconomic data. Environ Plann A 25:383–397

    Article  Google Scholar 

  • Jia P, Qiu Y, Gaughan AE (2014) A fine-scale spatial population distribution on the high-resolution gridded population surface and application in Alachua County, Florida. Appl Geogr 50:99–107

    Article  Google Scholar 

  • Langford M, Unwin D (1994) Generating and mapping population density surfaces within a geographical information system. Cartogr J 31(1):21–26

    Article  Google Scholar 

  • Linard C, Gilbert M, Snow RW, Noor AM, Tatem AJ (2012) Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS One 7(2):e31,743

    Google Scholar 

  • Mennis J (2003) Generating surface models of population using dasymetric mapping. Prof Geogr 55(1):31–42

    Google Scholar 

  • Mennis J, Hultgren T (2006) Intelligent dasymetric mapping and its application to areal interpolation. Cartogr Geogr Inf Sci 33(3):179–194

    Article  Google Scholar 

  • Qiu F, Cromley R (2013) Areal interpolation and dasymetric modeling. Geogr Anal 45(3):213–215

    Article  Google Scholar 

  • Reibel M, Bufalino ME (2005) Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems. Environ Plann A 37(1):127–139

    Article  Google Scholar 

  • Tatem AJ, Noor AM, vonHagen C, DiGregorio A, Hay SI (2007) High resolution population maps for low income nations: combining land cover and census in East Africa. PLoS One 2(12):e1298

    Article  Google Scholar 

  • Theobald DM (2014) Development and applications of a comprehensive land use classification and map for the US. PloS One 9(4):e94,628

    Google Scholar 

  • Weber N, Christophersen T (2002) The influence of non-governmental organisations on the creation of Natura 2000 during the European Policy process. For Policy Econ 4(1):1–12

    Article  Google Scholar 

  • Wright J (1936) A method of mapping densities of population: with Cape Cod as an example. Geogr Rev 26(1):103–110

    Article  Google Scholar 

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Acknowledgements

This work was supported by the University of Cincinnati Space Exploration Institute.

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Correspondence to Tomasz F. Stepinski .

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Dmowska, A., Stepinski, T.F. (2017). High-Resolution Population Grids for the Entire Conterminous United States. In: Griffith, D., Chun, Y., Dean, D. (eds) Advances in Geocomputation. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-22786-3_4

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