Introduction to GIS In-Person
In this workshop, you will leave with a strong foundational understanding of the building blocks of GIS. Included in this introduction are the distinction between various GIS software, methods, and data. This introduction will break down the core data types for geospatial data, and you will leave with a strong understanding of how GIS data is structured, and how it is interpreted by various systems. We will discuss the relationship between various software packages, including desktop, browser, and programmatic (R/Python).
This is a lecture based informational session only and no software is required. For the full two-hour hands-on workshop version, keep an eye on the library events calendar this Fall, or follow along the tutorial version.
Instructor: Belle Lipton, GIS Outreach Librarian, Harvard Map Collection
This is an in-person workshop. Registration is limited and attendees must have a Harvard University ID (HUID) to enter the Countway Library.
Light snacks and refreshments will be served.
- Date:
- Wednesday, July 12, 2023
- Time:
- 12:00pm - 1:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Countway Library - Ware Room (5th Floor)
- Categories:
- Classes Data Management
Summer RDM Camp: Data Visualization
Join us all summer long for more opportunities to build your data visualization skills.
| Date | Seminar Title | Location |
|---|---|---|
| 6/14 | Tips and Tools for Creating Compelling Data Visualizations | Online |
| 6/21 | Introduction to ESRI ArcGIS Pro and ArcGIS Online: Creating Exploratory Maps | Online |
| 7/12 | Introduction to GIS | Countway Library |
| 7/19 | Introduction to Data Visualization with Python / Seaborn | Online |
| 8/16 | Interactive and Responsive Visuals: Is it a good fit for me? | Online |
| 8/23 | Data Visualizations in R Using ggplot2 | Online |
Need help with data management? Feel free to book a 30 minute meeting slot with me.
Happy to help with data organization, cleaning, and sharing for fostering reproducible workflows and open science!