An Investigation into Geographical Data to Provide Direction for Accommodation and Food Resources
Main Article Content
Abstract
In several fields, geolocation and GIS have become indispensable tools. Geographic information systems (GIS) have proven indispensable in many fields due to their ability to integrate databases and show geographic data. It is the goal of this article to utilise K-Means Clustering to categorise accommodation options for migrants according to their preferences on facility, budget, and closeness to the site, and then to match those individuals with the best possible accommodation options. Immigrants to a city will have K-Means Clustering performed on their geo-locational data once it is retrieved, cleaned, analysed, and clustered
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
