Quantitative Environmental Learning Project
http://www.seattlecentral.org/qelp/index.html

Joseph Hull, Greg Langkamp, Seattle Central Community College, Seattle Central Community College


This web site provides resources to integrate math and environmental science using real environmental data. The site features many data sets which are ideally suited for use as a classroom exercise. The data sets are sorted by topics, such as ecology, energy, air pollution or water resources. The data is also sorted by type, such as linear scatterplot, histogram, or exponential. With each data set there is useful background information about the topic, the raw data, and a plot of the data. This provides all of the ingredients for an instructor to create a classroom exercise. The central goal of the Quantitative Environmental Learning Project is to integrate mathematics and environmental science. The data sets included here allow teachers to accomplish just that. Although the project was geared toward college level classes, the material could be adapted to younger audiences as well.

This description of a site outside SERC has not been vetted by SERC staff and may be incomplete or incorrect. If you have information we can use to flesh out or correct this record let us know.


Part of the Cutting Edge collection. The NAGT/DLESE On the Cutting Edge project helps geoscience faculty stay up-to-date with both geoscience research and teaching methods.

Cutting Edge

Subject: Geoscience:Atmospheric Science, Hydrology, Biology, Environmental Science:Ecosystems:Biogeochemical cycling, Geoscience:Atmospheric Science:Climatology , Geoscience:Geology
Resource Type: Datasets and Tools:Datasets, Datasets with Tools, Datasets with Teaching Activities, Tools
Inquiry Level: Guided Inquiry
Special Interest: Quantitative
Grade Level: Middle (6-8), College Upper (15-16), College Lower (13-14), High School (9-12)
Theme: Teach the Earth:Incorporating Societal Issues:Climate Change, Teach the Earth:Course Topics:Hydrology/Hydrogeology, Atmospheric Science, Teach the Earth:Teaching Topics:Water, Teach the Earth:Course Topics:Biogeoscience, Environmental Science
Data Derived: Data Derived
Data Source: Synthetic/Model Data, Observational Data
Science Background Required: Broadly accessible
Topics: Human Dimensions/Resources, Hydrosphere/Cryosphere, Energy/Material cycles, Climate, Atmosphere, Biosphere, Earth surface