Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/8675
Title: Population density estimation using regression and area-to-point residual Kriging
Authors: Liu, X. H. 
Kyriakidis, Phaedon 
Goodchild, Michael F. 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: A real interpolation;Dasymetric mapping;Kriging;Geostatistics;Population surface
Issue Date: Mar-2008
Source: International Journal of Geographical Information Science, 2008, vol. 22, iss. 4, pp. 431-447
Volume: 22
Issue: 4
Start page: 431
End page: 447
Journal: International Journal of Geographical Information Science 
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-topoint 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.
URI: https://hdl.handle.net/20.500.14279/8675
ISSN: 13623087
DOI: 10.1080/13658810701492225
Rights: © Taylor & Francis
Type: Article
Affiliation : San Francisco State University 
University of California 
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