The article discusses how statistical methods are used in soil and land resource surveys. It focuses on analyzing relationships between different variables, such as covariance and correlation. The researchers also looked at regression to understand how one variable can predict another. They used methods like ordination analysis and numerical classification to group similar data points together. By studying spatial dependence and using techniques like kriging, they were able to estimate values at unsampled locations.