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 …
[HTML][HTML] Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction
Cities are not only major contributors to global climate change but also stand at the forefront
of climate change impact. Quantifying and assessing the risk potentially induced by climate …
of climate change impact. Quantifying and assessing the risk potentially induced by climate …
[HTML][HTML] Climate resilient interconnected infrastructure: Co-optimization of energy systems and urban morphology
Co-optimization of urban morphology and distributed energy systems is key to curb energy
consumption and optimally exploit renewable energy in cities. Currently available …
consumption and optimally exploit renewable energy in cities. Currently available …
A Random Forest-Cellular Automata modelling approach to explore future land use/cover change in Attica (Greece), under different socio-economic realities and …
This paper explores potential future land use/cover (LUC) dynamics in the Attica region,
Greece, under three distinct economic performance scenarios. During the last decades …
Greece, under three distinct economic performance scenarios. During the last decades …
A size-adaptive strategy to characterize spatially heterogeneous neighborhood effects in cellular automata simulation of urban growth
B Zhang, S Hu, H Wang, H Zeng - Landscape and Urban Planning, 2023 - Elsevier
As an important component of the cellular automata (CA) model, the neighborhood defines
the geographical interaction domain (GID) of cells and their interaction mechanisms …
the geographical interaction domain (GID) of cells and their interaction mechanisms …
[HTML][HTML] Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities
Urban development if not planned and managed adequately can be unsustainable. Urban
growth models have been a powerful toolkit to help tackling this challenge. In this paper, we …
growth models have been a powerful toolkit to help tackling this challenge. In this paper, we …
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 …
Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation
Urbanization processes have accelerated over recent decades, prompting efforts to model
land use change (LUC) patterns for decision support and urban planning. Cellular automata …
land use change (LUC) patterns for decision support and urban planning. Cellular automata …
Spatiotemporal modeling of urban growth using machine learning
This paper presents a general framework for modeling the growth of three important
variables for cities: population distribution, binary urban footprint, and urban footprint in …
variables for cities: population distribution, binary urban footprint, and urban footprint in …
Patch-based cellular automata model of urban growth simulation: Integrating feedback between quantitative composition and spatial configuration
Urban land use change modeling can enhance our understanding of processes and
patterns of urban growth that emerge from human-environment interactions. Cellular …
patterns of urban growth that emerge from human-environment interactions. Cellular …