Population-density estimation using regression and area-to-point residual kriging

X. H. Liu, P. C. Kyriakidis, Michael Goodchild

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

Census population data are associated with several analytical and cartographic problems. Regression models using remote-sensing covariates have been examined to estimate urban population density, but the performance may not be satisfactory. This paper describes a kriging-based areal interpolation method, namely area-to-point residual kriging, which can be used to disaggregate the residuals remaining from regression. Compared with conventional cokriging, the area-to-point residual kriging is much simpler in that only a semivariogram model for the point residuals is required, as opposed to a set of auto- and cross-semivariogram models involving the dependent variable and all the covariates. In addition, area-to-point residual kriging explicitly accounts for any scale differences between source data and target values. The method is illustrated by disaggregating population from census units to the land-use zones within them. Comparative results for regression with and without area-to-point residual kriging show that area-to-point residual kriging can substantially improve interpolation accuracy.

Original languageEnglish (US)
Pages (from-to)431-447
Number of pages17
JournalInternational Journal of Geographical Information Science
Volume22
Issue number4
DOIs
StatePublished - Apr 1 2008
Externally publishedYes

Fingerprint

population density
kriging
regression
Interpolation
Land use
census
Remote sensing
areal interpolation
urban population
land use
interpolation
remote sensing
performance
Values

Keywords

  • Areal interpolation
  • Dasymetric mapping
  • Geostatistics
  • Kriging
  • Population surface

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

Cite this

Population-density estimation using regression and area-to-point residual kriging. / Liu, X. H.; Kyriakidis, P. C.; Goodchild, Michael.

In: International Journal of Geographical Information Science, Vol. 22, No. 4, 01.04.2008, p. 431-447.

Research output: Contribution to journalArticle

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