Landscape pattern indexes are quantitative descriptions of the spatial composition and
configuration of land use, which can influence a variety of ecological phenomena. In this …

Spatially land use models are indispensable for sustainable land use planning. This study
demonstrates a combined Markov–Cellular Automata model to analyze temporal change …

Artificial neural network–cellular automata model has been applied successfully in land use
change simulation. However, it has rarely been integrated with landscape pattern indices …

Land use change models have been widely used to predict the changes in the future and
provide different scenarios under different policies. However, most models commonly …

Modeling and simulating the effects of human factors on landscape change remain as
challenges for ecological studies. In this paper, we present a dynamic landscape simulation …

Firstly, this paper analyzes the basic principles and processes of the spatial pattern changes
of land use in towns and villages, and the result shows that the land resource demands of …

The potential of Markov-cellular automata model has been recognized and used widely in
land use changes simulation and forecast, but previous researchers focused on analysis of …

The study of the landscape pattern of land use has important practical significance for land
use planning and constructing ecological cities. CA, a dynamic modeling approach, has …

Cellular automata (CA) models are widely used to simulate land-use changes because of
their simplicity, flexibility, intuitiveness and ability to incorporate the spatial and temporal …

With the rapid socioeconomic development in China, the competition for space in land-use
conversion is getting fierce. The Wuhan metropolitan area, as one of the main areas of …