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Geodemography is the study of people based on where they live [citation needed]; it links the sciences of demography, the study of human population dynamics, and geography, the study of the locational and spatial variation of both physical and human phenomena on Earth, [1] along with sociology. It includes the application of geodemographic ...
In marketing, geodemographic segmentation is a multivariate statistical classification technique for discovering whether the individuals of a population fall into different groups by making quantitative comparisons of multiple characteristics with the assumption that the differences within any group should be less than the differences between groups.
This branch of geography integrates demographic data with spatial analysis to understand patterns such as population density, urbanization, and migration trends. Population geography involves demography in a geographical perspective. [a] It focuses on the characteristics of population distributions that change in a spatial context.
The Demography of the World Population from 1950 to 2100. Data source: United Nations — World Population Prospects 2017. Demography (from Ancient Greek δῆμος (dêmos) 'people, society' and -γραφία (-graphía) 'writing, drawing, description') [1] is the statistical study of human populations: their size, composition (e.g., ethnic group, age), and how they change through the ...
The spatial distribution of the population and development are closely related to each other, especially in the context of sustainability.The challenges related to the spatial spread of a population include: rapid urbanization and population concentration, rural population, urban management and poverty housing, displaced persons and refugees.
A dot distribution map (or a dot density map or simply a dot map) is a type of thematic map that uses a point symbol to visualize the geographic distribution of a large number of related phenomena. Dot maps are a type of unit visualizations that rely on a visual scatter to show spatial patterns, especially variances in density.
The map on the right uses population density. A properly normalized map will show variables independent of the size of the polygons. Normalization is the technique of deriving a spatially intensive variable from one or more spatially extensive variables, so that it can be appropriately used in a choropleth map. [3]
A proportional symbol map or proportional point symbol map is a type of thematic map that uses map symbols that vary in size to represent a quantitative variable. [ 1 ] : 131 For example, circles may be used to show the location of cities within the map, with the size of each circle sized proportionally to the population of the city.