Final answer:
Causal regresses related to the integers can be understood via regression analysis, a method that measures relationships between dependent and independent variables, often using GIS software in geography.
Step-by-step explanation:
The concept of causal regresses where each cause-effect pair is mapped to/from the integers can be related to the statistical technique known as regression analysis. This method is used in various fields, including geography, to measure the nature of relationships between a dependent variable (effect) and one or more independent variables (cause). In the context of geography, regression analysis is often employed using GIS software to determine the strength and direction of causality. For example, it can help analyze how various factors such as the density of fast food joints, ethnicity, income, and access to parks in a neighborhood might influence obesity rates.