Don't know where your data is from? Bayesian modeling for unknown coordinates
Summary
An in-depth tutorial on modeling with uncertain spatial coordinates using Gaussian processes and Bayesian inference in PyMC. The post demonstrates modifying the GP to account for latent true locations, includes code snippets, results, and a comparison to a kernel smoother, illustrating the value and challenges of coordinate uncertainty in geostatistics.