Partitioning a 2D space for piecewise regression.

For spatial data analysis, visualizing the spatial patterns of the data is necessary. In many cases, a map is used as the background of the figure. This post summarizes several commonly used methods to make maps with R and Python.

Collect useful cheat sheet resources for machine learning, deep learning, and programming languages (Python/R/Matlab).

A new discussion on the performance of co-Kriging and ordinary Kriging.

Difference in Simple Kriging, Ordinary Kriging, Co-Kriging, Universial Kriging, Kriging with external drift, and Regression Kriging.

This post introduces dummy coding for categorical variables.

Logistic regression is a regression model where the outcome is categorical (mostly binary).