Abstract
Abstract. Dasymetric mapping is a well-known technique when attempting to refine census data spatially and/or temporally. Existing approaches in micro-level census disaggregation make use of building areas or volumes in the mapping process. In an empirical error comparison it is shown that using additional address data rather than only building footprints or 3D models can substantially reduce dislocation of residential population. We propose the use of address points as a geometric representation unit for a more refined census disaggregation method in the future.
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