STATS 12

Introduction to Statistical Methods for Geography and Environmental Studies

Statistics · 5 units · Undergraduate lower division (0-99)

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Not open for credit to students with credit for course 10, 11, or 13. Introduction to statistical thinking and understanding, with emphasis on techniques used in geography and environmental science. Underlying logic behind statistical procedures, role of variation in statistical thinking, strengths and limitations of statistical summaries, and fundamental inferential tools. Emphasis on applications in geography and environmental science in laboratory work using professional statistical analysis package, including spatial statistics.

P/NP or letter grading.

When it runs

Spring 2026
Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

Checking the Schedule of Classes…

Requisites

UCLA lists no requisites for this course.

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

Nothing — this is an entry point.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

STATS 126 more beyond

STATS 20Introduction to Statistical Programming with R2 more beyond
- STATS 21Python and Other Technologies for Data Science
  - STATS 152Environmental Statisticsanother path to it
  - STATS C160Causal Inference for Health Dataanother path to it
  - MATH 156Machine Learning3 more beyond
  - STATS C167Introduction to Databasesanother path to it
STATS 88Sophomore Seminars: Statistics
A&O SCI 112Climate Change Assessment
- A&O SCI 121Climate Mitigation Solutions
STATS 101AIntroduction to Data Analysis and Regression2 more beyond
- STATS 101BIntroduction to Design and Analysis of Experiment
  - STATS C116Applied Bayesian Social Statisticsanother path to it
  - STATS 140XPCollaboration in Data Science1 more beyond
  - STATS 143Introduction to Research in Statisticsanother path to it
STATS 102AIntroduction to Computational Statistics
- STATS 131Python and Other Technologies for Data Analysis
- STATS 133Introduction to Text Mining Using R
- STATS 143Introduction to Research in Statistics
- STATS C167Introduction to Databases
- STATS C267Introduction to Databases
ECON 134Environmental Economics
STATS 112Statistics: Window to Understanding Diversity
STATS C116Applied Bayesian Social Statistics
ENVIRON 134Environmental Economics with Data Analysis
STATS 152Environmental Statistics
STATS M154Measurement and Its Applications
GEOG 108Analytical Animal Geography
- GEOG 281Advanced Topics in Biogeography
  - GEOG 272Seminar: Biogeography
STATS M169Causality X
STATS M171Introduction to Spatial Statistics
POL SCI M170XCausality X

22 courses list this as a requisite. Showing 53 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.