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ESTIMATING POPULATION SURFACES IN AREAS WHERE ACTUAL DISTRIBUTIONS ARE UNKNOWN: DASYMETRIC MAPPING AND PYCNOPHYLACTIC INTERPOLATION ACROSS DIFFERENT SPATIAL SCALES
Thesis submitted for the degree of Doctor of Philosophy at the University of Leicester
by
Idris Jega Mohammed MSc (Leicester) Department of Geography University of Leicester
June 2015
Idris Jega Mohammed Title: Estimating population surfaces in areas where actual distributions are unknown: dasymetric mapping and pycnophylactic interpolation across different spatial scales.
ABSTRACT Spatially distributed estimates of population provide commonly used demand surfaces in support of spatial planning. In many countries, spatially detailed population summaries are not available. For such cases a number of interpolation methods have been proposed to redistribute summary population totals over small areas. Population allocations to small areas are commonly validated by comparing the estimates with some known values for those areas. In areas where spatially detailed estimates of the population do not exist, that is where the actual population in small areas is unknown, such as Nigeria validation is problematic. This research explores different interpolation methods applied at different scales in areas where the actual population distribution is known and where validation is possible. It then applies the parameters developed from these results to areas where the distribution is unknown. The binary dasymetric method using land cover ) #name the health centre allocated to each demand names