TY - DATA T1 - A comparison of spatial disaggregation techniques as applied to population estimation for South East Queensland (SEQ), Australia PY - 2016/09/26 AU - Li, Tiebei AU - Pullar, David AU - Corcoran, Jonathan AU - Stimson, Robert UR - https://bridges.monash.edu/articles/journal_contribution/A_comparison_of_spatial_disaggregation_techniques_as_applied_to_population_estimation_for_South_East_Queensland_SEQ_Australia/3859803 DO - 10.4225/03/57E9AECEBA789 L4 - https://ndownloader.figshare.com/files/6055002 KW - monash:6568 KW - 1959.1/6568 KW - MAUP KW - Spatial disaggregation KW - dasymetric mapping KW - Regression model KW - 2007 KW - collection(s) Applied GIS KW - Type journal article KW - 1832-5505 N2 - The accuracy of spatial disaggregation techniques largely depends on their underlying density assumptions and the quality of the data applied. This paper presents the results of a comparative investigation of four spatial disaggregation methodologies to determine their relative accuracies. These methodologies include binary dasymetric, a regression model, a locally fitted regression model and three-class dasymetric, each of which provides different solutions for explaining spatially heterogeneous density when population data is spatially disaggregated. In contrast to previous studies, we apply the spatial disaggregation techniques to a comparably larger and more varied geographical area which allows the spatial disaggregation techniques to be more rigorously tested. Results indicate that the three-class dasymetric technique generates higher levels of accuracy compared to the other spatial disaggregation techniques and this result is more conclusive than previous findings. ER -