CGIS South Building, Room S050, 1730 Cambridge St, Cambridge MA 02138
Jointed organized by CGA and KNIME, this event will introduce the new Geospatial Analysis Extension in KNIME's most recent release. For more information and to attend in person, please visit https://www.meetup.com/boston-knime-users/events/290102421/. For virtual participation, please visit ...
Sponsored by the Spatial Data Lab (SDL)*, this training webinar will cover the following topics: (1) How to develop python-based extensions for KNIME; (2) How to convert a desktop based KNIME workflow to KNIME WebPortal for online geospatial analysis and simulation; (3) Applications of Geospatial extension for KNIME and online geospatial analysis and simulation with KNIME Webportal; and (4) How to collaborate with the SDL team on geospatial development and applications.
Spatiotemporal Innovation Lab for Big Data is an affiliate lab of the Future Data Lab. The lab aims to develop spatiotemporal methods which are repeatable, replicable, and scalable for worldwide research collaboration on big data analysis. Co-sponsored by the Spatial Data Lab (http://spatialdatalab.org) and Spatiotemporal Innovation Lab for Big Data, this workshop will...
The accessibility of healthcare resources is closely related to the well-being of residents. How to measure residents' access to healthcare services, how to delineate healthcare service divisions, and how to optimize the layout of service facilities are important contents of healthcare service planning? Mastering...
Notice: the PPTs are in English and the speech is in Chinese.
Co-sponsored by the Center for Geographic Analysis of Harvard University, Geo-computation Center for Social Sciences, China Data Institute and Future Data Lab, the spatiotemporal simulation training webinar series is a component of the Spatial Data Lab project, which aims to provide replicable, reproducible, and expandable case...
Speaker: Yu Hanchen, Postdoctoral Fellow, Center for Geographical Analysis, Harvard University Moderator: Guan Weihe, Executive Director, Center for Geographical Analysis, Harvard University
This webinar will introduce the spatial data science workbench based on KNIME workflow software. The workbench integrates data visualization, exploratory data analysis, exploratory spatial data analysis, and a variety of spatial econometric models, providing a repeatable, reproducible, and scalable combined data analysis platform, suitable for those without professional training in...
Speaker: Liu Lingbo, Visiting Scholar, Center for Geographical Analysis, Harvard University Moderator: Fahui Wang, Professor, Department of Geography and Anthropology, Louisiana State University
Abstract: Application of GIS and Quantitative Methods in Socio-Economic Research is a classic textbook for quantitative socio-spatial research based on GIS. KNIME is an open source software for data analysis based on workflow. The software includes 2000+ functional modules and has convenient Python, R, Java and other module interfaces. This lecture will introduce how to develop a...