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STATS 12 · STAT 12Introduction 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.

Requisites

UCLA lists no requisites for this course.

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About STATS 12. We read UCLA’s requisite wording by machine, and it gets things wrong.

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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 101AIntroduction to Data Analysis and Regressionanother path to it
    • MATH 42Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything
      • MATH 118Mathematical Methods of Data Theory1 more beyond
    • STATS 102AIntroduction to Computational Statisticsanother path to it
    • STATS 152Environmental Statisticsanother path to it
    • STATS C160Causal Inference for Health Data
    • STATS 411Multivariate Statistical Analysis
    • STATS 422Data Visualization
  • 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 153Hierarchical Linear Modelinganother path to it
      • STATS C173Applied Geostatistics
    • STATS 101CIntroduction to Statistical Models and Data Mining
      • STATS C116Applied Bayesian Social Statisticsanother path to it
      • STATS 133Introduction to Text Mining Using Ranother path to it
      • MATH M148Experience of Data Scienceanother path to it
      • STATS C216Applied Bayesian Social Statistics
    • MATH M148Experience of Data Science
    • STATS C151Experimental Design
    • STATS 153Hierarchical Linear Modeling
    • STATS C160Causal Inference for Health Dataanother path to it
    • STATS 170Introduction to Time-Series Analysis
    • STATS 184Societal Impacts of Data
  • 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.