— Methods in Ecological Planning
This version has ended; see updated course, below. Course Description: Analytical methods in ecological planning, aiming for mitigation and adaptation to environmental crises and the impacts of extreme events. Integration of technologies such as advanced GIS, remote sensing, statistical analysis and machine learning, and InVEST ecosystem modeling into an ecological planning research project.
Prerequisites & course information
This version has ended; see updated course, below. Course Description: Analytical methods in ecological planning, aiming for mitigation and adaptation to environmental crises and the impacts of extreme events. Integration of technologies such as advanced GIS, remote sensing, statistical analysis and machine learning, and InVEST ecosystem modeling into an ecological planning research project. Learning Activities: Lecture/Lab 3 hour(s). Grade Mode: Letter. LED 280 — Methods in Ecological Planning (3 units) Course Description: Analytical methods in ecological planning, aiming for mitigation and adaptation to environmental crises and the impacts of extreme events. Integration of technologies such as advanced GIS, remote sensing, statistical analysis and machine learning, and InVEST ecosystem modeling into an ecological planning research project. Learning Activities: Lecture/Lab 3 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture/Lab 3 hour(s). Grade Mode: Letter. LED 280 — Methods in Ecological Planning (3 units) Course Description: Analytical methods in ecological planning, aiming for mitigation and adaptation to environmental crises and the impacts of extreme events. Integration of technologies such as advanced GIS, remote sensing, statistical analysis and machine learning, and InVEST ecosystem modeling into an ecological planning research project. Learning Activities: Lecture/Lab 3 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.
Sources
- Course catalogue ↗2026-2027