# Geospatial Analytics Extension Named Top KNIME Community Extension of 2024 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](https://docs.knime.com/latest/analytics_platform_extensions_and_integrations/index.html#open-source-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: 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. 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. Share on:- [ Facebook ](#) - [ Twitter ](#) - [ Linkedin ](#)