Cellular automata (CA) models are in growing use for land-use change simulation and
future scenario prediction. It is necessary to conduct model assessment that reports the …

Since the late 1990s, there are growing studies on the development of cellular automata
(CA) as a simulation tool for assisting urban and regional planning in China. Rapid urban …

Land use projections are crucial for climate models to forecast the impacts of land use
changes on the Earth's system. However, the spatial resolution of existing global land use …

Understanding the spatial scale sensitivity of cellular automata is crucial for improving the
accuracy of land use change simulation. We propose a framework based on a response …

Urban heat islands (UHIs) have attracted attention around the world because they
profoundly affect biological diversity and human life. Assessing the effects of the spatial …

The information of global spatially explicit urban extents under scenarios is important to
mitigate future environmental risks caused by global urbanization and climate change …

Cellular automata (CA) have been widely used to simulate complex urban development
processes. Previous studies indicated that vector-based cellular automata (VCA) could be …

We develop a new geographical cellular automata (CA) modeling framework, named
UrbanCA, through reconstructing the essential CA structure and incorporating nonspatial …

Spatial patterns are essential for examining the sustainability derived from land systems.
Constructing spatial patterns for sustainable land development is now high on the global …

Land use change affected by wide ranges of human activities is a key driver of global
climate change. In the last three decades, China has experienced unprecedented land use …