Yingqi Jing

Yingqi Jing

PhD, University of Zurich

Interactive Map of World’s Languages

less than 1 minute read

Published:

This visualization explores the distribution of world languages based on the Asher & Moseley (2007) Atlas of the World’s Languages. This visualization builds upon the recent work of Ranacher et al. (2025), who created a global and interoperable dataset of linguistic distributions derived from the Atlas of the World’s Languages. Each polygon represents a geographic area where a specific language is spoken. Two maps are shown for each language: one for the traditional speaker areas and one for the contemporary speaker areas.

The full interactive map is available as a standalone webpage here:

👉 View Interactive Map of World’s Languages

Atlas of the World’s Languages

References

You May Also Enjoy

Cholesky factors of covariance and correlation matrices in stan

4 minute read

Published:

In this blog, I would like to give a quick overview of different types of matrices and their transformations (e.g., Cholesky decomposition) in stan. These matrices include variance-covaiance matrix ($\Sigma$), correlation matrix ($R$), Cholesky factor of covariance matrix ($L$) and Cholesky factor of correlation matrix ($L_{corr}$). Before we move to Cholesky decomposition, it is good to know the relationship between variance-covaiance matrix ($\Sigma$) and correlation matrix ($R$). Simply put, we can rewrite $\Sigma$ as the product of a diagonal matrix ($\sigma$) and a correlation matrix $(R)$ in the following way. To achieve this, you can use the quad_form_diag(R, sigma) function in stan.

Simulating and Modeling Statistical Distributions via bayes.js

2 minute read

Published:

I have been thinking about building a web app for simulating data with given parameters and recovering the parameters with Bayesian MCMC samplers in JavaScript. This web app can not only make the procedures more transparent, but also help us understand the magic of the Bayesian MCMC approach. More importantly, I have benefited from this simulation-based way of thinking, so I would like to promote it in my blog.