GeoDa & PySAL Impact
Spatial data science is an interdisciplinary field that develops and uses scientific concepts, methods and tools to analyze geographic data in order to gain insights related to location. CSDS seeks to advance spatial methods for area data and implement them in open spatial computational tools for research and education, such as GeoDa and PySAL's spatial econometrics package spreg. Building on Luc Anselin's 40-year track record in this field (and 20 years by his team), our aim is to go beyond academic prototypes and create software that is widely used by researchers and educators. This page highlights some of these broader impacts.