A review of assessment methods for cellular automata models of land-use change and urban growth
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 …
future scenario prediction. It is necessary to conduct model assessment that reports the …
CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
Forecasting cities' carbon emissions is an essential support for peak carbon emissions.
Previous studies have mainly focused on estimating carbon emissions at large regional …
Previous studies have mainly focused on estimating carbon emissions at large regional …
Spatio-temporal analysis and simulation of urban ecological resilience in Guangzhou City based on the FLUS model.
Z Liao, L Zhang - Scientific Reports, 2023 - search.ebscohost.com
Prediction of urban ecological risk, which is increasing with the rapid development of
China's economy, has become more complex and difficult, resulting in great damage to the …
China's economy, has become more complex and difficult, resulting in great damage to the …
Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change
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 …
accuracy of land use change simulation. We propose a framework based on a response …
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 …
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 …
[HTML][HTML] Global urban fractional changes at a 1 km resolution throughout 2100 under eight scenarios of Shared Socioeconomic Pathways (SSPs) and Representative …
The information of global spatially explicit urban extents under scenarios is important to
mitigate future environmental risks caused by global urbanization and climate change …
mitigate future environmental risks caused by global urbanization and climate change …
Exploring the advantages of the maximum entropy model in calibrating cellular automata for urban growth simulation: a comparative study of four methods
B Zhang, H Wang - GIScience & Remote Sensing, 2022 - Taylor & Francis
As a powerful predictive technique based on machine learning, the maximum entropy
(MaxEnt) model has been widely used in geographic modeling. However, its performance in …
(MaxEnt) model has been widely used in geographic modeling. However, its performance in …
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR
Many methods can be used to construct geographical cellular automata (CA) models of
urban land use, but most do not adequately capture spatial heterogeneity in urban …
urban land use, but most do not adequately capture spatial heterogeneity in urban …
Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata
Cellular automata (CA) have been widely used to simulate complex urban development
processes. Previous studies indicated that vector-based cellular automata (VCA) could be …
processes. Previous studies indicated that vector-based cellular automata (VCA) could be …