Synthetic Geospatial Data Generation Tool
Ammit @ stock.adobe.com
A set of machine learning tools used to generate and preprocess synthetic geospatial data. This solution is necessary due to privacy concerns as well as the large amounts of data that lack initial geospatial information, such as origin/destination points, which thwarts the progress of geo-informational systems (GIS). This application proposes preprocessing and synthetically generating data for algorithm implementation, using scatter, clustering, and routing techniques to generate geospatial information. Geospatial data generation assists with urban development and other location-based data-driven decision-making processes that benefit from GIS.