KSPredict: Software pro predikci vývoje krizových situací a mimořádných událostí

The result is user software in the form of a web application implemented in the
R statistical environment using the Shiny extension from Posit. The application
is deployed on the user's local workstations, but its architecture allows
possible deployment on a remote server. The application aims to facilitate the
modeling and prediction of the development of emergency events and crisis
situations, such as forest fires or migration waves, based on the values of the
selected predictors. The application has a simple and intuitive graphical user
interface without the need to implement custom scripts. It provides functions for
importing and cleaning data, training and evaluating statistical models based on
the values of selected predictors, displaying results in an interactive graphical
form and exporting them.