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Location: Remote via Zoom. Link will be sent on the morning of the event.
Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.
Date & Time: This workshop is a 2-part series running from 4pm-6pm each day:
• Tuesday, April 2
• Thursday, April 4
Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.
Description
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.
Python Geospatial Fundamentals: Part 1
This workshop is the first one of the two-part series on using Python for fundamental geospatial analysis and visualization. After this workshop, you will be able to:
- Recognize different forms of geospatial data and coordinate reference system (CRS),
- Use GeoPandas and matplotlib libraries to map and analyze spatial data.
Python Geospatial Fundamentals: Part 2
This workshop is the second one of the two-part series on using Python for fundamental geospatial analysis and visualization. After this workshop, you will be able to:
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Apply more advanced Python libraries for interactive visualization.
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Choose domain-specific spatial datasets to create your own maps.
Knowledge Requirements
You'll probably get the most out of this workshop if you have a basic foundation in Python and Pandas, similar to what you would have from taking the D-Lab Python Fundamentals workshop series. Here are a couple of suggestions for materials to check out prior to the workshop.
D-Lab Workshops:
Workshop Materials: https://github.com/dlab-berkeley/Python-Geospatial-Fundamentals/
Software Requirements:Installation Instructions for Python Anaconda
Feedback: After completing the workshop, please provide us feedback using this form
Questions? Email: dlab-frontdesk@berkeley.edu