COMET
  • Get Started
    • Quickstart Guide
    • Install and Use COMET
    • Get Started
  • Learn By Skill Level
    • Getting Started
    • Beginner
    • Intermediate - Econometrics
    • Intermediate - Geospatial
    • Advanced

    • Browse All
  • Learn By Class
    • Making Sense of Economic Data (ECON 226/227)
    • Econometrics I (ECON 325)
    • Econometrics II (ECON 326)
    • Statistics in Geography (GEOG 374)
  • Learn to Research
    • Learn How to Do a Project
  • Teach With COMET
    • Learn how to teach with Jupyter and COMET
    • Using COMET in the Classroom
    • See COMET presentations
  • Contribute
    • Install for Development
    • Write Self Tests
  • Launch COMET
    • Launch on JupyterOpen (with Data)
    • Launch on JupyterOpen (lite)
    • Launch on Syzygy
    • Launch on Colab
    • Launch Locally

    • Project Datasets
    • Github Repository
  • |
  • About
    • COMET Team
    • Copyright Information
  1. Intermediate: Econometrics and Modeling Using R
  2. Geographic Computation
  • Learn by Skill Level


  • Getting Started: Introduction to Data, R, and Econometrics
    • Intro to JupyterNotebooks
    • Intro to R
    • Intro to Data (Part 1)
    • Intro to Data (Part 2)

  • Beginner: Using R and Data in Applied Econometrics
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Sampling Distributions
    • Simple Regression

  • Intermediate: Econometrics and Modeling Using R
    • Simple Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions

    • Geographic Computation
    • Chi-Square Test
    • t-test
    • ANOVA
    • Regression
    • Wrangling and Visualizing Data

  • Advanced Modules
    • Classification and Clustering
    • Differences In Differences
    • Geospatial I
    • Geospatial II
    • Instrumental Variables I
    • Instrumental Variables II
    • Large Language Model APIs (Python)
    • Linear Differencing
    • Training LLMS
    • Sentiment Analysis Using LLMs (Python)
    • Transcription (Python)
    • Vocalization (Python)
    • Word Embeddings (Python)
    • Word Embeddings (R)
    • Panel Data
    • Synthetic Controls
Categories
All (5)
  1. Intermediate: Econometrics and Modeling Using R
  2. Geographic Computation

Geographic Computation

The modules in this unit are Intermediate level. They focus on geographic and geospatial computation. This section contains material originally built to support UBC’s GEOG 374 (Statistics in Geography). This course covers statistical techniques for geography. For economics students, these are a valuable supplement to our intermediate econometrics courses.

These modules in particular are designed to be used in 1 or 2 one-hour long lab environments, with TA or Instructor supervision, or in a flipped classroom setting (i.e. as a lecture)

They include a number of exercises which are intended to be formative (i.e. not graded) in nature, and can be addressed during the lab.

You should make sure you’re familiar with the basics of R and using data before starting these notebooks.

Attribution

Suggested Attribution

Hewitt, N., Jerowsky, M., Pierce, K. 2023. Interactive Notebooks for Statistics and Computation in Geography. In Adshade et al. 2023. fThe COMET Project: Creating Online Materials for Econometric Teaching’. https://comet.arts.ubc.ca/.

GEOG 374: \(\chi^2\)-test - Regional and Gender Differences in Canadian Income and Education
This module has a suggested citation of:

GEOG 374: \(t\)-test - Determining Differences in Growth Between Cross-Pollinated and Self-Fertilized Plants
This module has a suggested citation of:

GEOG 374: ANOVA - Nesting Tree Characteristics of the Northern Spotted Owl
This module has a suggested citation of:

GEOG 374: Regression - The Impact of Pacific Ocean Temperatures on Snowpack and Floods in the Fraser River Basin
Pierce, K., Hewitt, N., Jerowsky, M., 2023. Interactive Notebooks for Statistics and Computation in Geography: The Impact of Pacific Ocean Temperatures on Snowpack and…

GEOG 374: Wrangle and Visualize Climate Disaster Data
After completing this notebook, you will be able to: * Explore data to gain a better understanding of its content and structure. * Transform data to meet the needs of data…
No matching items
Chi-Square Test
  • Creative Commons License. See details.
 
  • Report an issue
  • The COMET Project and the UBC Vancouver School of Economics are located on the traditional, ancestral and unceded territory of the xʷməθkʷəy̓əm (Musqueam) and Sḵwx̱wú7mesh (Squamish) peoples.