![]() Analyzing spatial data is considered a complex task due to its details as it is related to locations with a special representation such as longitude and latitude. Geospatial is a term that has recently been gaining in popularity moreover, many applications on geospatial have different uses in different fields such as geo-tagging, geospatial technology, and geo-fencing. An example of useful extracted patterns from spatial data is to describe changes in metropolitan poverty rates based on city distances from major highways. ![]() ![]() ![]() AbstractData mining is one of the current vital fields for all types of data including spatial data.
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