About Spatial Classification

A spatial classification task consists of training a model that predicts the value of a target variable according to explanatory variables, where the target variable is categorical.

Spatial classification algorithms provide a spatial context to the already known classification algorithms. It is helpful when the variables are influenced by their geographic location.

The following lists a few use cases of spatial classification:

• Categorize the crime level of a particular zone.
• Identify the severity of air pollution across a geographic region and classify them into different zones for decision-making.
• Estimate the outcome of a political election in different locations.