Statistical Techniques in Environmental Analysis
Geography · 3 hrs Lecture | 1 hrs Lab
Offered: Fall Or Winter
GEOG-2309 prerequisites
We couldn't read this course's prerequisites into a chain. The wording is under “Requisite courses” below.
Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.
Taking GEOG-2309 is a prerequisite for 7 courses directly, and opens 10 once their own follow-ons are counted.
Where GEOG-2309 counts
Counts toward 6 more as one option among several, not as a course you must take:
Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
Description
Statistics describe and summarize data, and make predictions about a population from the information contained in samples. This course provides a working understanding of the elementary statistical techniques and computational procedures for students with little background in mathematics, and focuses on the applications of these tools to the analyses of geographical and environmental data. Topics include scales of measurement, univariate descriptive statistics, time series analysis, probability, sampling design, hypothesis testing, regression and correlation analysis, and models as quantitative techniques.
Requisite courses
Any 3 credits of 1000 level Geography courses or permission of the instructor [prerequisite(s)]; GEOG-2309L (lab) (must be taken concurrently).
Restrictions
Students may not hold credit for this course and GEOG-2310.
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.