Reddit reviews Geographic Information Analysis

Analyzing languagejones

• comments per month: 51.4 ^I ^have ^an ^opinion ^on ^everything
  
• posts per month: 1.5 ^lurker
  
• favorite sub linguistics
  
• favorite words: you're, really, speakers
  
• age 0 years 11 months
  
• profanity score 0.6% ^Gosh ^darnet ^gee ^wiz
  
• trust score 77.3%
  
  
• Fun facts about languagejones
  
  • "I'm a native speaker of AAVE because of my childhood speech community."
    
  • "I've studied that has a written tradition."
    
  • "I've only ever heard people claim "two negatives make a positive" and then give an example of multiplying negatives."
    
  • "I am very careful to separate out of my data."
    
  • "I've seen look like they were made in R, using the R Color Brewer package."
    
  • "I'm a geospatial n00b, so I started with this book)."
    
  • "I've never seen it as "linalg." I like that, but I'm uncertain how to pronounce it."
    
  • "I am just in the process of learning some French equivalents."
    
  • "I am not familiar with the concept of unconscious bias."
    
  • "I've got a speaker who has just a long nasalized schwa for "I don't know." There is, however, a nice pitch contour."
    
  • "I've been talking with Dr."
    

My point was that statistics 101 doesn't always apply to geographic information analysis because what makes GIA interesting is usually some form of autocorrelation (which is not something I personally came up with, nor something terribly controversial afaik; I'm a geospatial n00b, so I started with this book).

I've been reading up on GIA, and thought it was interesting that random processes generate nonuniform point patterns, and that sampling those points further amplifies the appearance of (seemingly nonrandom) patterns, before we even discuss first- and second-order effects. Because I'm very interested in answering questions about language use by using Twitter, I'm now working on figuring out what precisely I can and cannot do with my data.

If you have advice about how to approach spatial statistics and geographic information analysis, especially favorite books or methods particularly applicable to linguistic questions, I would love to know more.