Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
487159 | Procedia Computer Science | 2015 | 8 Pages |
Abstract
This study is conduct to evaluate socio-economics and/or demographic attributes of convenience store based on catchment area prediction. In this preliminary analysis, we find that more specific data related to demographics of the population are needed to see the correspondence between the location of the convenience store with the distribution of the population. It also shows that GIS-based approach is a powerful method to collect data, perform spatial analysis, combine and manage both spatial and attributes data, such as finding features inside determinant region.
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