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Spatial interpolation using areal features: A review of methods and opportunities using new forms of data with coded illustrations
7 references·10 citing·40 second hop
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this work references cited by second hop

References

  • 1983Spatial Interpolation Methods: A Review946 cited
  • 1979Smooth Pycnophylactic Interpolation for Geographical Regions679 cited
  • 2001Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation516 cited
  • 1936A Method of Mapping Densities of Population: With Cape Cod as an Example274 cited
  • 2014Fine-resolution population mapping using OpenStreetMap points-of-interest250 cited
  • 1996An assessment of surface and zonal models of population174 cited
  • 1989Mapping Population Data from Zone Centroid Locations170 cited

Cited by

  • 2021Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs91 cited
  • 2023Racial and income inequalities in access to healthcare in Brazilian cities38 cited
  • 2021Spatial interpolation of mobile positioning data for population statistics19 cited
  • 2021Evolution of Agricultural Production in Portugal during 1850–2018: A Geographical and Historical Perspective18 cited
  • 2024When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates15 cited
  • 2023TD 2832 - Desigualdades raciais e de renda no acesso à saúde nas cidades brasileiras14 cited
  • 2023Spatiotemporal gender differences in urban vibrancy9 cited

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  • 2025Spatial econometrics to estimate traffic reduction by transforming office space into housing and other land uses: The case for Barcelona3 cited
  • 2023PoD: A Web Tool for Population Downscaling Using Areal Interpolation and Volunteered Geographic Information2 cited
  • 2025Evaluating the usefulness of interpolation methods in constructing isopleth maps2 cited