Spatial neighborhood effect and scale issues in the calibration and validation of a dynamic model of Phragmites australis distribution  A cellular automata and machine learning approach
We develop a dynamic model of Phragmites distribution using cellular automata. We investigate patterns of distribution and spread at different scale settings. We obtain cellular automata transition rules using boosted regression trees. We present a model of neighborhood effect that captures directional influences.
boosted regression trees archipelago sea common reed gulf of finland spatial dynamic models species distribution models