Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/33965
Title: Population Analysis of Children's Clothing/Toys Stores in the City of Skopje
Authors: Lekoska, Mila
Sedmakova, Ivana
Naumoski, Andreja 
Keywords: Children's clothing/toys stores , Population analysis , Interpolation modelling , Optimized Hot Spot Analysis , Multiple Ring Buffer
Issue Date: 4-Nov-2024
Publisher: IEEE
Conference: 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Abstract: Children growth and development can be supported by children stores that specialize in toys and clothing. Not only do these stores stock a wide variety of goods, but they also have a huge influence on the way children think, express themselves, and dress. The presence of such stores allows for a convenient and pleasant shopping experience for children and their parents, so their accessibility is crucial. This accessibility can lead to a child having a greater variety of clothing options, having more fun while playing, and having positive interactions with peers that help with their social development. The spatial dynamics of children clothing/toy stores in the city of Skopje is the subject of this research paper. This study collects and analyzes geographic data on store distribution and customer satisfaction ratings. To visualize and analyze user satisfaction scores, we use ArcGIS as well as Inverse Distance Measurement and Kriging techniques. We also use optimized hot spot analysis to find spatial patterns and clusters within the data. With this analysis, retail players gain important insights that help them optimize store locations and offers.
URI: http://hdl.handle.net/20.500.12188/33965
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.