This $1,484,914 Project Grant award from the National Science Foundation (NSF) under the CFDA 47.084 Technology, Innovation, and Partnerships program aims to improve the field of spatial data science through the development and enhancement of the Python Spatial Analysis Library (PySAL) open-source ecosystem. Led by San Diego State University Foundation in collaboration with the University of Chicago, University of Maryland, and University of North Texas, the project seeks to expand the accessibility, functionality, and collaborative potential of spatial data analysis tools. Key objectives include refining PySAL's capabilities to meet evolving data-intensive needs, cultivating a supportive user and developer network, and enhancing educational resources to train the next generation of spatial data scientists. This multi-faceted effort aspires to advance spatial analysis and equip stakeholders with more effective and equitable means to address real-world challenges through data-driven decision-making.
Generated 3/4/25, 7:43 AM