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Population density is the number of people per unit of area, usually transcribed as "per square kilometer" or square mile, and which may include or exclude, for example, areas of water or glaciers. Commonly this is calculated for a county, city, country, another territory or the entire world.
Mathematical formula The mathematical formula can be derived from first principles. It reads: where the population density is a function of age and time , and is the death function. When , we have: [2]
Physiological density. The physiological density or real population density is the number of people per unit area of arable land. A higher physiological density suggests that the available agricultural land is being used by more and may reach its output limit sooner than a country that has a lower physiological density.
The Ricker model, named after Bill Ricker, is a classic discrete population model which gives the expected number N t+1 (or density) of individuals in generation t + 1 as a function of the number of individuals in the previous generation, [1] Here r is interpreted as an intrinsic growth rate and k as the carrying capacity of the environment.
Urban density is a term used in urban planning and urban design to refer to the number of people inhabiting a given urbanized area. As such it is to be distinguished from other measures of population density. Urban density is considered an important factor in understanding how cities function. Research related to urban density occurs across ...
It also includes a sortable table of density by states, territories, divisions, and regions by population rank and land area, and a sortable table for density by states, divisions, regions, and territories in square miles and square kilometers.
Distance sampling is a widely used group of closely related methods for estimating the density and/or abundance of populations. The main methods are based on line transects or point transects. [1][2] In this method of sampling, the data collected are the distances of the objects being surveyed from these randomly placed lines or points, and the ...
Its density is infinitely differentiable, indeed supersmooth of order 2. [21] Furthermore, the density of the standard normal distribution (i.e. = and =) also has the following properties: Its first derivative is ′ = ().