Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata–Markov model
The detection and prediction of land use/land cover (LULC) change is crucial for guiding
land resource management, planning, and sustainable development. In the view of …
land resource management, planning, and sustainable development. In the view of …
Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: an integrated ML-CA-LTM …
H Omrani, A Tayyebi, B Pijanowski - GIScience & Remote Sensing, 2017 - Taylor & Francis
Cellular automata (CA) and artificial neural networks (ANNs) have been used by
researchers over the last three decades to simulate land-use change (LUC). While …
researchers over the last three decades to simulate land-use change (LUC). While …
A methodology to quantify the neighborhood decay effect of urban cellular automata models
H Zeng, H Wang, B Zhang, Q Wang - International Journal of …, 2023 - Taylor & Francis
Spatial heterogeneity is an essential feature of land use change. It is important for cellular
automata (CA)-based urban expansion modeling to consider the spatial heterogeneity of …
automata (CA)-based urban expansion modeling to consider the spatial heterogeneity of …
Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta
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 …
applied to simulate land use change by capturing its dynamics. Metaheuristics such as …
Parallel fuzzy cellular automata for data-driven simulation of wildfire spreading
Cellular Automata (CA) have been introduced many decades ago as one of the most
efficient parallel computational models able to simulate various physical processes and …
efficient parallel computational models able to simulate various physical processes and …
Higher-order cellular automata generated symmetry-protected topological phases and detection through multi point strange correlators
In computer and system sciences, higher-order cellular automata (HOCA) are a type of
cellular automata that evolve over multiple time steps and generate complex patterns, which …
cellular automata that evolve over multiple time steps and generate complex patterns, which …
A high-performance cellular automata model for urban simulation based on vectorization and parallel computing technology
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 …
and have become important tools for studying the spatio-temporal evolution of urban land …
A generic macroscopic cellular automata model for land use change: The case of the Drâa valley
FE Sfa, M Nemiche, H Rayd - Ecological Complexity, 2020 - Elsevier
The study of change in land use has been recently included in territorial planning in order to
inform spatial planners and policy makers of the possible future developments and therefore …
inform spatial planners and policy makers of the possible future developments and therefore …
Tensor‐CA: A high‐performance cellular automata model for land use simulation based on vectorization and GPU
With the ability to understand linkages and feedbacks between land use dynamics and
human–land relationships, cellular automata (CA) are extensively applied in land use/cover …
human–land relationships, cellular automata (CA) are extensively applied in land use/cover …
A parallel framework on hybrid architectures for raster-based geospatial cellular automata models
Geospatial cellular automata (Geo-CA) models have encountered challenges in computing
efficiency and scalability when conducting large-scale land use change simulation …
efficiency and scalability when conducting large-scale land use change simulation …