Obtaining population estimates in non-census reporting zones: An evaluation of the 3-class dasymetric method
✍ Scribed by Mitchel Langford
- Book ID
- 104014690
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 372 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0198-9715
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✦ Synopsis
Interpolating population data between incompatible spatial zones is an important task in many GIS applications. This paper investigates whether regional regression models between population and land cover outperform a global approach, and whether the 3-class dasymetric method improves upon the binary dasymetric approach. In the experiments conducted, regional regressions resulted in better areal interpolation, but also highlighted spatial non-stationarity in the relationship between population and land cover. The benefits of a 3-class dasymetric model over a binary model were inconclusive. However, it is suggested that greater flexibility in model calibration to more fully incorporate spatial non-stationarity could improve 3-class dasymetric performance. Accurate urban residential density mapping is also important since the 3-class dasymetric method seems less robust than the binary approach to land cover classification error.