Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
Cellular Automata (CA) are widely used to model the dynamics within complex land use and
land cover (LULC) systems. Past CA model research has focused on improving the technical …
land cover (LULC) systems. Past CA model research has focused on improving the technical …
[HTML][HTML] Land use land cover change modeling by integrating artificial neural network with cellular Automata-Markov chain model in Gidabo river basin, main …
Modeling land use land cover (LULC) change is crucial to understand its spatiotemporal
trends to protect the land resources sustainably. The appraisal of this study was to model …
trends to protect the land resources sustainably. The appraisal of this study was to model …
[HTML][HTML] Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method
Rapid urbanization at the expense of the environment led to a reduction in vegetation cover,
and consequently aggravated land degradation, urban water logging, heat island effect and …
and consequently aggravated land degradation, urban water logging, heat island effect and …
Construction of ecological security pattern adapting to future land use change in Pearl River Delta, China
L Li, X Huang, D Wu, H Yang - Applied Geography, 2023 - Elsevier
Land use and cover change (LUCC) can often threaten urban ecological space and cause
enormous impacts on the ecosystem, and sustainable ecological security patterns (ESPs) …
enormous impacts on the ecosystem, and sustainable ecological security patterns (ESPs) …
[HTML][HTML] Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model
A Gharaibeh, A Shaamala, R Obeidat, S Al-Kofahi - Heliyon, 2020 - cell.com
Urban growth and land-use change are a few of many puzzling factors affecting our future
cities. Creating a precise simulation for future land change is a challenging process that …
cities. Creating a precise simulation for future land change is a challenging process that …
Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures
When used for land use change modeling, Cellular Automata (CA) usually assume that each
cell has only one land use type at each time step, ignoring the mixed land use structures that …
cell has only one land use type at each time step, ignoring the mixed land use structures that …
Optimizing land use patterns to improve the contribution of land use planning to carbon neutrality target
L Li, X Huang, H Yang - Land Use Policy, 2023 - Elsevier
Land use planning has the potential to diminish carbon storages and exacerbate carbon
emissions, and therefore improving its contribution to achieve carbon neutrality should be a …
emissions, and therefore improving its contribution to achieve carbon neutrality should be a …
Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District
In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of
landscape types. Analyzing and simulating spatio-temporal dynamic features of urban …
landscape types. Analyzing and simulating spatio-temporal dynamic features of urban …
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: A case study of Huizhou, China
Cellular automata (CA) model is a useful tool for simulating spatiotemporal changes of land-
use evolution. However, previous CA models have usually ignored the inhomogeneous and …
use evolution. However, previous CA models have usually ignored the inhomogeneous and …
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
Vector-based cellular automata (VCA) models have been applied in land use change
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …