1. GEOG 370 Quantitative Methods in Geography > 
  2. Resources

Resources

Global help resources

  • Base R Cheat Sheet
  • Owning Outlines in RStudio
  • ArcMap review: Making a map and adding map elements

Workflow resources

  • Why Excel spreadsheets are bad for business: Data errors and solutions
  • Top voted answer to the question ‘Do data scientists use Excel?’
  • Excel vs. R: A brief introduction to R
  • Reasons you should stop using Excel for financial data analysis
  • Why use R? Five reasons
  • Challenges of teaching spatial analysis with Python: The case for R
  • European Spreadsheet Risk Interest Group horror stories
  • I Will Fucking Dropkick You If You Use That Spreadsheet

US Census API examples

  • Comparing population densities in states with and without urban growth boundaries
  • Spatial data in tidycensus
  • Analyzing US Census Data: Methods, Maps, and Models in R

ggplot2 extensions

  • Flametree
  • Creating graphs with ggformula
  • ggridges

Distributions

  • Areas under the normal distribution online resource

z-tests and t-tests

  • z-table
  • t-table
GEOG 370

  • Home


  • Resources
    • FAQ
    • Statistical spellbook
    • Martingale
    • Introduction to R
    • US Census TIGER files
    • US Census Spatial Data
    • US Census API
    • Descriptive statistics (central tendency)
    • Descriptive statistics (shape)
    • Descriptive statistics (shape)
    • Statistical distributions
    • Descriptive statistics (dispersion, pt. 1)
    • Descriptive statistics (dispersion, pt. 2)
    • Descriptive spatial statistics
    • Standard distance
    • Data visualization
    • z-scores
    • z-scores (pt. 2)
    • Central Limit theorem
    • Critical values (pt. 1)
    • Critical values (pt. 2)
    • t-tests
    • Correlation
    • Correlation Visualization
    • Quiz 3 in-class review session
    • Monte Carlo Simulations
    • Spatial Autocorrelation
    • Spatial autocorrelation (pt. 2)
    • Spatial autocorrelation (pt. 3)
    • Regression (pt. 1)
    • Regression (pt. 2)
  • Short tasks
    • Labs
      • Exam overviews
        • Schedule

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