ToneClimateJoLE

For the latest version, please see: https://github.com/seannyD/ToneClimateJoLE

These are supplementary materials for Everett, Blasi & Roberts (2015): Climate and language: Has the discourse shifted?

ANU_numTones_SpecificHumidity_GlottoFams.csv

The data used in the studies. Columns are as follows:

• OID_ ANU phonological database identifier code
• iso Language iso code
• Language Language name
• Family Language family (ANU)
• gFam Language family (Glottolog)
• Autotyp.area Geographic area
• Region Geographic region
• Number.of.tones Number of contrasting tones
• specH.mean Specific mean humidity

AppendixResponseToHammarstrom.pdf

A description of the statistical tests carried out.

MonteCarloByFamily2.py

Run the statistical tests (Python)

MonteCarloByFamily_Results.txt

Results for MonteCarloByFamily2.py

MonteCarloByFamily_andArea.py

Run the statistical tests, sampling languages that are independent in family AND area

MonteCarloByFamily_andArea_Results.txt

Results for MonteCarloByFamily_andArea.py

MonteCarloByFamily4.r

An implementation of some of the tests in R

IndepResults.csv

Results from the R implementation

IndependentSampleHist.r

Make a density plot, taking into account the relatedness of languages.