Lected CMAs. Census summary tables were extracted for CMA, CSD, ADA, CT, and DA resolutions. However, PUMF are only out there in the CMA resolution. Hence, the disaggregate sample at the CMA resolution was made use of to synthesize populations at significantly less aggregate geographic resolutions. An underlying assumption of such a practice is that the correlation structure among control variables is continual across the deemed geographic units [2]. Having said that, a bigger sample, i.e., possessing a richer pool of agents, especially when synthesizing in the finest geographic scales, assists avoid poor variance amongst synthesized agents. The cis-4-Hydroxy-L-proline-d3 Endogenous Metabolite Montreal CMA has around 4.1 million people grouped into roughly 1.7 million households. The Toronto CMA comprises around five.9 million people today in almost two.1 million households. The Vancouver CMA could be the smallest in the 3 regarded as regions with around 2.5 million people within a little less than 1 million households. For the 3 CMAs, the PUMF size is about 1 in the population. A short portrait of those places is drawn in Figures 82. The distributions of ages per sex in Figures 80 have been extracted from the 2016 Census PUMF and summary files. The three CMAs have equivalent distributions, displaying peaks for persons who ISPRS Int. J. Geo-Inf. 2021, 10, x FORare significantly less than 10 years old and individuals who are among 55 and 65 years old. The distributions of PEER Assessment 13 of 27 guys and women per age group are relatively comparable. The PUMF sampling typically respects the distribution within the population. Folks among 10 and 30 years old were found to become slightly undersampledoldthe PUMF whilebe slightly undersampled in theslightly oversampled for and 30 years in were located to individuals in between 30 and 45 had been PUMF Fenretinide glucuronide-d4 Technical Information whilst persons bethe three CMAs. have been slightly oversampled for the 3 CMAs. tween 30 andFigure 8. Distributions of ages per sex in Montreal CMA’s PUMF and population. Figure 8. Distributions of ages per sex in Montreal CMA’s PUMF and population.ISPRS Int. J. Geo-Inf. 2021, ten,13 ofFigure 8. Distributions of ages per sex in Montreal CMA’s PUMF and population. Figure 8. Distributions of ages per sex in Montreal CMA’s PUMF and population.Figure 9. Distributions of ages per sex in Toronto CMA’s PUMF and population. Figure 9. Distributions of ages per sex in Toronto CMA’s PUMF and population. Figure 9. Distributions of ages per sex in Toronto CMA’s PUMF and population.ISPRS Int. J. Geo-Inf. 2021, ten, x FOR PEER REVIEWFigure ten. Distributions of ages per sex in Vancouver CMA’s PUMF and population. Figure 10. Distributions of ages per sex in Vancouver CMA’s PUMF and population. Figure 10. Distributions of ages per sex in Vancouver CMA’s PUMF and population.14 of(a)(b)(c)Figure 11. Households’ distributions according toto household size in the PUMF plus the population in the CMAs of (a) Figure 11. Households’ distributions according household size inside the PUMF and the population in the CMAs of (a) Montreal, (b) Toronto, and (c) Vancouver. Montreal, (b) Toronto, and (c) Vancouver.ISPRS Int. J. Geo-Inf. 2021, 10,(a)(b)(c)14 ofFigure 11. Households’ distributions based on household size in the PUMF and the population with the CMAs of (a) Montreal, (b) Toronto, and (c) Vancouver.Figure 12. Households’ distribution in accordance with household after-tax earnings in the PUMF along with the Figure 12. Households’ distribution in accordance with household after-tax income within the PUMF plus the population of the CMAs of Montreal, Toronto, and Vancouver. population of your CMAs of Montreal, T.