Spatial data now underpin a wide array of critical applications from environmental monitoring and urban planning to public health management and resource allocation. Advances in geospatial ...

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are ...

This course covers specialized methods and models that have been created for performing statistical analysis on spatial data. Students will learn basic statistical concepts and how to apply them to ...