Increasing water scarcity in China is further exacerbated by the rapid socio-economic
development and uneven spatial distribution of water resources. Current studies on water …

Cellular automata (CA) is a bottom-up modeling framework that has increasingly been
applied to simulate land use change by capturing its dynamics. Metaheuristics such as …

The Cellular Automata Markov model combines the cellular automata (CA) model's ability to
simulate the spatial variation of complex systems and the long-term prediction of the Markov …

In this paper, the technical aspects of big data processing of multimedia communication are
deeply studied. Firstly, we propose a cloud implementation method of radial basis function …

China has implemented a strict policy of cropland balance to reduce the impacts of built-up
land expansion on food production. However, this policy only alleviates the quantitative loss …

Cellular automata (CA) models can simulate complex urban systems through simple rules
and have become important tools for studying the spatio-temporal evolution of urban land …

This paper proposes a model to identify the changing of bare grounds into built-up or
developed areas. The model is based on the fuzzy system and the Ordered Weighted …

Kernel density estimation (KDE) is a classic approach for spatial point pattern analysis. In
many applications, KDE with spatially adaptive bandwidths (adaptive KDE) is preferred over …

Annual analyses of land cover dynamics in urban areas provide a thorough understanding
of the urbanization effects on environment and valuable information for the improvement of …

The reliability of raster cellular automaton (CA) models for fine-scale land change
simulations has been increasingly questioned, because regular pixels/grids cannot …