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Population Distribution using Delaunay Triangulation

Year: 2016
Tags: Geo Information Systems, Machine Learning

 

Increased use of geo informatics application like Google Maps demands for a more comprehensive yet efficient approach to study population distribution. One of the purpose includes quick geo tagging for point of interests and study the consumer behavior in order for businesses to take advantage. We utilized open datasets of population distribution and generated an approach based on Delaunay triangulation technique to produce heat maps. These generated heat maps are then utilized on small memory units like smartphones. We tested this approach by creating a digital scavenger hunt application that involved the whole city of Islamabad, Pakistan.This distribution system is unique because of its ability to adapt with the population movement trend within certain geographic locations.
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