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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.
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.
There are also many different types of geodata, including vector files, raster files, geographic databases, web files, and multi-temporal data. Spatial data or spatial information is broader class of data whose geometry is relevant but it is not necessarily georeferenced , such as in computer-aided design (CAD), see geometric modeling .
Mosaic is Experian's system for geodemographic classification of households. It applies the principles of geodemography to consumer household and individual data collated from a number of government and commercial sources.
GIS data acquisition includes several methods for gathering spatial data into a GIS database, which can be grouped into three categories: primary data capture, the direct measurement phenomena in the field (e.g., remote sensing, the global positioning system); secondary data capture, the extraction of information from existing sources that are ...
Claritas PRIZM Premier is a set of geo-demographic segments for the United States, developed by Claritas Inc., which was owned under The Nielsen Company umbrella from 2009 to 2016. PRIZM (Potential Rating Index for Zip Markets) Premier combines demographics, consumer behavior and geographic data for marketers.
To create targeted programs to treat specific health issues, healthcare practitioners need proper demographic information about the population they are seeking to target. Without a doubt, racism ...
A hybrid topological data model has the option of storing topological relationship information as a separate layer built on top of a spaghetti data set. An example is the network dataset within the Esri geodatabase. [23] Vector data are commonly used to represent conceptual objects (e.g., trees, buildings, counties), but they can also represent ...