The study, in general, aims to apply Support Vector Regression on a workflow developed for creating landslide susceptibility maps.
1) To develop a computational workflow for creating landslide susceptibility maps,
2) To create the same susceptibility maps using less factors using Support Vector Regression(SVR),
3) To assess the effectiveness of SVR on modeling landslide susceptibility using less factors, and
4) To develop a web application that will visualize the resulting susceptibility maps and results.