JISARA

Abstract: A common application in spatial data analytics is site selection. In site suitability study, we often construct circular or ring buffers around the site location to analyze the vicinity. To determine its suitability, we assess the impact of the feature attributes around the site location by apportioning the parts of every feature included in the buffer. In our case study, we are commissioned to find a grocery store site with sufficient resident population in its vicinity. To facilitate for our search with test-and-verify strategy, the traditional approach will determine the proportion of population in the buffer around the potential site location. Instead, we exploit the duality of the census block polygon and aggregate the resident population of the census block to its centroid, turning the 2D polygons of census blocks into the points of their centroids. With the markers on the centroids symbolized by the resident population, the construct serves as a better visual guide for our search. By aggregating the resident population to the centroid, the approach facilitates for our apportioning method to come up with an estimate of the resident population around the selected store site, verifying its suitability more efficiently.

Download this article: JISARA - V18 N4 Page 14.pdf

Recommended Citation: Wu, P.Y., (2025). Duality in 2D Apportioning: A Site Suitability Case Study for Spatial Data Analytics. Journal of Information Systems Applied Research and Analytics 18(4) pp 14-19. https://doi.org/10.62273/CZUH9195