Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method.

TL;DR: A novel land use/cover change model, STAPLE, integrates spatiotemporal dependency and landscape evolution properties using cellular automata, achieving higher simulation accuracy and enabling policy-makers to explore low-ecological-risk landscapes under different future scenarios.

TL;DR: The study explores the spatial conflict of land use and its impact on habitat quality in Ankang City, China, under different SSPs-RCP scenarios. The results indicate increasing land use conflicts and decreasing habitat quality. The study highlights the need to allocate sufficient space for economic development while prioritizing ecological protection.

TL;DR: In this article , an approach to managing territorial development using a system of linked indicators that consider more than just the parameters of social development is presented. But the main problem of management systems for the integrated territorial development is associated with an incorrect assessment of their starting capabilities, which results in the low performance of the implementation mechanism.

TL;DR: A future land use simulation (FLUS) model that explicitly simulates the long-term spatial trajectories of multiple LUCCs, and the simulation accuracy is higher than other well-accepted models, such as CLUE-S and CA models.

TL;DR: A cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area, is applied to two rapidly growing, but remarkably different urban areas.

TL;DR: A three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses and has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China.

TL;DR: In this paper, the authors introduce a modeling approach that integrates demand-driven changes in land area with locally determined conversion processes to simulate the evolution of natural vegetation on abandoned farmland in Europe.