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Date and Location

February 16, 2024
1:30 PM - 3:30 PM ET
R-g-21 Neustadt Classroom

Contact

617-495-7813
Advanced Data Cleaning for GIS Photo

​In this workshop you will practice working through common problems that arise when preparing geographic data for spatial analysis. We will provide example approaches to challenging GIS problems. You will leave with strengthened foundational GIS skills.

We will use the open source desktop software QGIS
for hands-on practice and demonstrate how to scale up or integrate GIS
methods into programming workflows, such as using R or Python for data
analysis.

No
prior GIS experience is required, though the materials are slightly
tailored to those already working with data in their research.
Attendance is limited to 24 participants
to guarantee hands-on help and troubleshooting. If you register and
don’t think you can make it, please email alessandra_seiter@hks.harvard.edu to make your seat available for someone else.

This
will be a collaborative session with group discussion and interactive
components. If you would prefer one-on-one instruction, please email
Belle or book a GIS consultation with the Harvard Map Collection.

Accessibility: The HKS
Library encourages individuals with disabilities to participate in our
events. If we can make learning easier for you, please email library_research@hks.harvard.edu or call 617-495-1300.

Speakers and Presenters

​Belle Lipton, GIS Outreach Librarian, Harvard Map Collection

Organizer