1. A parking lot usage profiling method for improving a parking management system, said method comprising: collecting transaction data from at least one off-street parking area utilizing at least one data extractor among a plurality of data extractors; analyzing said transaction data with respect to spatio-temporal behavioral patterns using machine learning that includes feature extraction with respect to said transaction data collected from said at least one off-street parking area utilizing said at least one data extractor among said plurality of data extractors; compiling user profiles from said transaction data in at least one database that communicates with said at least one data extractor, in response to analyzing said transaction data with respect to spatio-temporal behavioral patterns with respect to said at least one off-street parking area; and providing a visualization engine for visualizing said user profiles and other data, wherein said visualization engine includes a GUI (Graphical User Interface) for visualizing parking and traffic data and implementing a framework for creating, testing, and exploring data processing techniques in geo-spatial data with ease, said GUI comprising a profiling tool displayed in a secondary screen of said GUI that allows said user to select and create a clustering module, and wherein said profiling tool further automatically creates profiles from suggested options that are capable of being manually overridden for exploratory purposes in a third screen of said GUI, wherein said spatio-temporal behavior patterns include said geo-spatial data and wherein said parking and traffic data include said transaction data, which results in improvements in the functioning of said parking management system and user profiling in off-street parking applications.