January 20, 2025
The Geospatial Analytics Extension developed by Spatial Data Lab at Harvard’s Center for Geographic Analysis (CGA), supported by KNIME and Future Data Lab, has been recognized as one of the Top 1 KNIME Community Extensions of 2024. This prestigious accolade highlights the extension’s impact in enhancing spatial data processing and visualization within the KNIME open-source analytics platform.
Each year, KNIME celebrates user-created extensions that expand KNIME Analytics Platform’s core capabilities. KNIME Analytics Platform is an open source tool for all your data needs. While the core is provided in-house, data scientists and developers from the KNIME community regularly add new features and tech, from industry-specific to sophisticated scientific software integrations: KNIME Community Extensions are a treasure trove of functionality.
The extension empowers users to integrate geospatial data workflows, perform advanced spatial analysis, and leverage machine learning for geographic insights. Its selection among the top KNIME Community Extensions underscores the growing demand for geospatial capabilities in data science and decision-making.
This recognition further solidifies Harvard CGA’s role in pioneering cutting-edge geospatial technologies and promoting open-source innovation in analytics.
Reference:
https://www.knime.com/blog/top-3-community-extensions-2024
Liu, L.; Wang, F., Fu, X., Kötter, T., Sturm, K., Guan, W. W., & Bao, S. (2024). Elevating the RRE Framework for Geospatial Analysis with Visual Programming Platforms: An Exploration with Geospatial Analytics Extension for KNIME. International Journal of Applied Earth Observation and Geoinformation, 130, 103948. https://doi.org/10.1016/j.jag.2024.103948
Liu, L.; Fu, X.; Kötter, T.; Sturm, K.; Haubold, C.; Guan, W. W.; Bao, S. & Wang, F.. 2024. Geospatial Analytics Extension for KNIME. SoftwareX, 25, 101627. https://doi.org/10.1016/j.softx.2023.101627