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International Journal of
            Population Studies                                           Used versus Offered densities of human population



                                                               easy to visualize that the area below the PDF curve amounts
                                                               to 1. The CDF functions are easier to depict jointly than
                                                               their PDF counterparts. Using conventional abscissas
                                                               (Figure 5B), function F  increases in a smooth way paved
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                                                               by the decile values, while function F  increases in a one-
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                                                               shot way at low values of x, making the decile values hardly
                                                               legible. The recourse to log-scale on the x-axis (Figure 5C)
                                                               enables one to visualize the magnitude of the deciles. The
                                                               graphical practicality of density magnitudes, that is, of the
            Figure  8. Stair’s generalized density indicators under reduced form   logarithms of the human density, provides another reason
            ln(x k r  / M O )/(k +  1 2  ) r                   to utilize them, beside the point made by Craig (1984) that
            Source: author’s calculations based on INSEE (2021a; 2021b)  relative  changes  in  local  population  densities  are  more
                                                               significant than absolute ones to assess the variations over
            one: This points to the respective statistical individuals.   time of human density in a geographical space.
            Lewontin & Levins (1989) went further in the probabilistic   4.2. On land units and the heterogeneity of land-use
            representation of human density by considering spatial
            cells of unit ground area as the statistical individuals in   Ottensmann (2018a) studied and discussed the definition
            geographical space as a statistical population: The cell   of spatial cells, in other words, the zoning system to
            attribute of local human density is inherited by the people   consider for local density and its assignment to people
            inhabiting the cells, therefore constituted the used density   according to their zones of residence. Craig (1984) studied
            as an RV in the human population. Yet, the probabilistic   the effects of three zoning systems on the values of the
            framework of Ottensmann (2018a) is limited to the two   used density in Great Britain as of 1971: He stated that
            statistical populations, the human density RVs on both   “both the means (of offered and used density) increase as
            sides and the relations between the average values.  the (spatial) units are progressively subdivided.” This is a
                                                               straightforward consequence of the law of total variance
              In the present article, we introduced the respective PDFs   applied progressively to finer and finer subgroups. It
            of human density in either statistical population and we   emphasizes that the notion of used density strongly depends
            related them using a consumption model. This affiliation to   the underlying system of residence zones. This must be kept
            (simple) probabilistic theory yields several benefits, from   in mind in the consideration of any set of numerical values
            the mathematical statement of the PDF relationship which   of used density indicators. Such sensitivity also pertains to
            is a fundamental one, to the relation between statistical   any indicator of heterogeneity in offered densities, since the
            moments, and up to the consideration of the Lorenz   zoning sensitivity of the average used density, on the left side
            function and the related Gini index. The relation between   of (16a), comes from that of the relative dispersion of the
            the respective averages of used versus offered density is   offered density, on the right side of (16a). In fact, the zoning
            a prominent instance of the relation between statistical   system to estimate both offered density heterogeneity and
            moments. The reference to theory provides the general   average used density has to satisfy a twofold condition on
            relation between moments in a straightforward way,   zone sizes: A  trade-off between, on the one hand, zones
            compared to the former derivations of the relation between   small enough to capture the spatial heterogeneity finely
            average densities (Lewontin & Levins, 1989; Ottensmann,   and, on the other hand, zones large enough to grasp the “life
            2018a). Stairs (1977a) had stated the relation between the   basins” where people live.
            statistical moments in a concise and general way, yet with
            no explicit consideration of PDFs.                 4.3. On indicators of heterogeneity in human density
              In the application to France as of 2019, the PDFs of   For positive real variables, the relative dispersion is
            offered and used densities were easy to study on a standalone   a  heterogeneity  indicator  derived from  the  standard
            basis. Yet, to visualize both functions jointly, the standard   deviation divided by the mean. The explicit modeling of
            diagram (Figure 5D) depicted mainly the quasi-disjunction   the PDFs of human densities, that is, f  and f , induces their
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                                                                                            o
            of their supporting sets – lower values of  x giving most   respective CDFs f  and f : From these stem, the quantiles
                                                                                   U
                                                                             o
            of the probability weight to x  versus much higher values   of  their  respective  distribution,  and  in  turn  robust
                                    o
            giving significant probability weight to  x . The recourse   statistics, including the median as a middle value and also
                                              U
            to log-scale on the x-axis (Figure 5E) was instrumental to   interquartile ratios as measures of heterogeneity, including
            exhibit the PDF values on the y-axis and enable for some   the inter-quartile ratio and the inter-decile one. Not only
            visual comparison. In such a diagram, however, it is less   are  the  interquartile  ratios  simpler  than  the  alternative
            Volume 8 Issue 2 (2022)                         43                     https://doi.org/10.36922/ijps.v8i2.297
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