2nd Edition of My Book Now Published, with Python Code

The book is offered with full LaTeX source (including bibliography and figures). It’s a great way to learn LaTeX or use extracts of my books in your own LaTeX documents. It also comes with full Python code, all for free. Indeed, all my articles are now available with full LaTeX and Python code, see the bottom section on this page.

The book covers many aspects of geospatial statistics including coverage problems and nearest neighbor graphs. Applications range from cellular networks (optimum distribution of cell towers), sensor data and IoT (optimum location of sensor devices), to crystallography or chemistry with lattice structures. Simulated (synthetic) data is based on various distributions, including a new type of generalized logistic, and Poisson-binomial distributions.

Highly clustered Brownian motion (left), automated detection of number of clusters (right)

You will learn how to generate synthetic data and build interpretable machine learning models. The approach, though similar to Bayesian mixtures and generative models, is simpler and more intuitive, using the concept of overlapping stochastic processes.

Get your free copy here!