Geographic Data Science

Geographic Data Science involves the application of statistical analysis, data mining, and machine learning techniques to geographic data in order to gain insights, make predictions, and solve complex problems related to geography, spatial patterns, and location-based data. This field integrates principles from geography, computer science, and statistics to analyze spatial data sets, geographical information systems (GIS), remote sensing data, and location-based services. By leveraging geographic data, researchers and practitioners in Geographic Data Science aim to understand spatial relationships, patterns, and trends, as well as to develop solutions for various real-world challenges in fields such as urban planning, environmental science, transportation, and public health.

External Links

Geographic Data Science Lab - University of Liverpool
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Geographic Data Science