Spatial Data Sciences SEMINAR …Think Spatually About Your Data Science Problems
Have you ever wondered why a phenomenon occurs in a specific location? What tools do we have to model and predict phenomena with a significant spatial component? Spatial Data Science offers insights into these questions. Spatial Data Science is an interdisciplinary field that integrates traditional data science methods—such as Machine Learning and Artificial Intelligence—with spatial analysis methodologies, including Geographic Information Systems, Geostatistics, and Remote Sensing. This combination enables us to understand, characterize, and manage big spatial data.