#  Using Python for Geospatial Analysis and Visualization 

 



####  calendar\_today Date and Time 

 **May 22, 2026** 

 09:00AM - 12:00PM EDT 

####  pin\_drop Location 

 **CGIS Knafel building, 1737 Cambridge St., Cambridge, MA**  



 

 



 

**Lead Instructors:** Jielu Zhang and Devika Jain

**Date and Time:** May 22nd, 9:00 am to 12: 00 am

**Location:** Room SB -12, CGIS Knafel Building, 1737 Cambridge Street, Cambridge MA

**Objective:** This workshop focuses on how to analyze and visualize health-related geospatial datasets using  
Python and Google Colab. The workshop introduces practical tools and techniques for working  
with individual-level health data, public contextual datasets, and spatial data layers. Attendees  
will learn how to process, integrate, analyze, and map health data to address health geography  
research questions.

**Topics Covered:**

 **1.** Introduction to geospatial health data analysis and spatial thinking.  
 **2.** Foundations of spatial data processing using Google Colab and Python, including  
 GeoPandas, Shapely, and related packages.  
 **3.** Integration of individual-level health data, such as cardiac arrest records, with  
 neighborhood, demographic, and public health datasets, including the CDC Social  
 Vulnerability Index and American Community Survey datasets.  
 **4.** Spatial analysis of health-event patterns, neighborhood context, and healthcare access  
 (Automated External Defibrillator dataset).  
 **5.** Static and interactive visualization of health-related geospatial data.

**Target Audience:**

This workshop is designed for basic to intermediate level Python users. Basic Python programming  
experience is required. Participants should be comfortable loading, inspecting, and cleaning CSV  
files, and some experience with NumPy and Pandas is recommended but not required. The  
workshop is suitable for researchers, students, and practitioners interested in health geography,  
geospatial analysis, public health data, and spatial visualization using Python.

This workshop is free for Harvard affiliates with a valid Harvard ID, and is $100 for others.

**How to Apply:**

- For Harvard Affiliates, please submit your application by filling out [the form at this link](https://projects.iq.harvard.edu/cga-pin/registration-cga-training) (HUID login required).
- For Non-Harvard applicants, please submit your application by filling out [the form at this link.](https://docs.google.com/forms/d/e/1FAIpQLSeXW61jcLTbZ0iEdmDPIHUf76raVl2nK3xqOKKPq1UYIKxFrg/viewform) See [this link](https://gis.harvard.edu/faq/how-make-payments-cga) for payment instructions.

On these forms, make sure to choose **Using Python for Geospatial Analysis and Visualization** as the workshop name.

 ![flier advertising the Using Python for Geospatial Analysis workshop](/sites/g/files/omnuum9996/files/2026-04/flyer-new.jpg)

 



 

 



 

 

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