ENVS 3370 Geospatial Data Analysis for Environmental Sustainability
Geospatial data and technologies permeate every aspect of our lives, from the navigation apps on our smartphones to the intricate management of city infrastructure and natural resources. This course introduces the fundamental principles and methodologies in geospatial analysis. Students acquire essential knowledge and skills in GIS, remote sensing, statistical modeling, AI, and more. Real-world case studies provide practical applications for how geospatial approaches can tackle challenges such as climate change, food and water security, and public health. Learning geospatial data quantitative analysis is imperative for effective environmental analysis, management, and communication, empowering students to contribute meaningfully to a sustainable future.
Course overview
- Department
- Environmental Studies
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Annually
Requirements fulfilled
Course evaluations
- Course rating
- 4.24 / 5 · Very Good
- Instructor rating
- 4.56 / 5 · Excellent
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Shufen Pan | 4.3 | 4.5 | 4.4 | 4.5 | 4.3 | 4.3 | 4.4 | 4.2 | 1–3 hrs/week | 22 of 27 |
| Spring 2025 | Shufen Pan | 4.1 | 4.6 | 4.5 | 4.4 | 4.1 | 4.5 | 4.7 | 4.3 | 1–3 hrs/week | 15 of 21 |