IDRISI Selva uses the to simulate future land cover scenarios. This combines Markovian processes—which calculate the probability of a pixel changing from one land cover class to another—with Cellular Automata (CA), which adds a spatial dimension to the prediction, ensuring that changes are spatially logical (e.g., urban growth happens near existing infrastructure). C. Multi-Criteria Evaluation (MCE)

– There is a place in southern Europe where time slows, the light turns green and gold, and the air smells of damp earth, wild ferns, and centuries-old trees. It is not a national park in the Amazon or a jungle in Southeast Asia. It is the Idrisi Selva – the Forest of Idris – a little-known, biodiverse wonder nestled in the Madonie Mountains of northern Sicily.

IDRISI Selva is applied globally to address critical environmental and spatial planning questions.

The name Idrisi pays homage to , the famed 12th-century Arab cartographer and geographer who lived at the court of King Roger II in Palermo. While al-Idrisi is best known for creating the Tabula Rogeriana (one of the most advanced world maps of the medieval era), local lore claims he personally ventured into the Madonie range and discovered a virgin forest so lush, so different from the arid Sicilian landscape, that he declared it a “paradiso terrestre” – an earthly paradise.