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 |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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