An Investigation into Geographical Data to Provide Direction for Accommodation and Food Resources
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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
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