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.