DATA AND GIS TOOLS FOR ECOLOGY
Quantitative tools applicable to the investigation of ecological problems, including but not limited to, statistics, Geographic Information Systems (GIS), Remote Sensing, and spatial analysis. Overview of commonly used quantitative techniques in ecological sciences with an emphasis on GIS and spatial analysis. Introduces spatial tools and practical applications using ecological/environmental data sets.
Prerequisites & course information
Requisites: MATH 113 , 114 , 171, placement into MATH 221 , or graduate/professional standing Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Describe ecological datasets spatially and statistically using data storage and Geographic Information Systems (GIS) tools Audience: Undergraduate 2. Acquire and map spatially explicit ecological data using GIS tools Audience: Undergraduate 3. Identify patterns in complex ecological data sets Audience: Undergraduate 4. Conduct common statistical analysis of digitized ecological data (such as: description, correlation, univariate regression, and hypothesis testing) Audience: Undergraduate 5. Critically evaluate the results of statistical analyses, including validation, of ecological datasets Audience: Undergraduate Learning Outcomes: 1. Describe ecological datasets spatially and statistically using data storage and Geographic Information Systems (GIS) tools Audience: Undergraduate 2. Acquire and map spatially explicit ecological data using GIS tools Audience: Undergraduate 3. Identify patterns in complex ecological data sets Audience: Undergraduate 4. Conduct common statistical analysis of digitized ecological data (such as: description, correlation, univariate regression, and hypothesis testing) Audience: Undergraduate 5. Critically evaluate the results of statistical analyses, including validation, of ecological datasets Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027