Spatiotemporal Data Analysis with Codeless Visual Programming

Date: 

Tuesday, November 7, 2023, 12:00pm to 1:30pm

Location: 

CGIS South, room S050 (Thomas Chan-Soo Kang Room) and virtual via Zoom

Speakers

The Spatial Data Lab Team (see full list below)

Abstract

This seminar will introduce the KNIME Analytics Platform and its Geospatial Analytics extension developed by the Spatial Data Lab (SDL) team at Harvard's Center for Geographic Analysis (CGA). The SDL team members will share the presentations, presenting the project's vision and demonstrating the new way of performing geospatial analysis in a codeless visual way with case studies.

Agenda

  • 12:00-12:15 Wendy Guan: Introduction to the Spatial Data Lab project
  • 12:15-12:30 Lingbo Liu: GIS x KNIME - Play Geospatial Analysis with the Ease of Building Blocks (An introduction to KNIME and its Geospatial Analytics Extension, a demo on how to build a workflow like stacking Lego blocks) 
  • 12:30-12:45 Xiaokang Fu: Open Data Access with KNIME Extension: Dataverse, ArcGIS Living Atlas, Open Street Map (demo)
  • 12:45-1:00 Ru Wang: Implementing GeoAI with KNIME and its Geospatial Analytics Extension (demo)
  • 1:00-1:30 Open Discussions

Lunch will be served to those in attendance.

To attend remotely, please register at this Zoom link.