The areal interpolation problem: estimating population using remote sensing in a GIS framework

M. Langford; D. J. Maguire; D. J. Unwin

The areal interpolation problem: estimating population using remote sensing in a GIS framework

M. Langford, D. J. Maguire, D. J. Unwin

Vice-Chancellor's Office

Research output: Chapter in Book/Report/Conference proceeding › Chapter

157 Citations (Scopus)

Abstract

This chapter concentrates on the difficulties of intergrating data from different areal spatial units. GIS techniques are used to obtain "intelligent' information, useable to allow for more accurate interpolation. The case study used is that of land cover mapping, which is classified from Landsat imagery, then predictively modelled to assess human populations of overlain administrative units. -D.Fairbairn

Original language	English
Title of host publication	Handling geographical information
Pages	55-77
Number of pages	23
Publication status	Published - 1991

Cite this

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The areal interpolation problem: estimating population using remote sensing in a GIS framework

Abstract

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