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 …
A review of driving factors, scenarios, and topics in urban land change models
Due to the increase in future uncertainty caused by rapid environmental, societal, and
technological change, exploring multiple scenarios has become increasingly important in …
technological change, exploring multiple scenarios has become increasingly important in …
Evaluating land ecological security and examining its relationships with driving factors using GIS and generalized additive model
Land ecological security (LES) refers to the environmental health and sustainability of the
land resources and ecosystems, which are substantially affected by biophysical and socio …
land resources and ecosystems, which are substantially affected by biophysical and socio …
Modelling urban change with cellular automata: Contemporary issues and future research directions
The study of land use change in urban and regional systems has been dramatically
transformed in the last four decades by the emergence and application of cellular automata …
transformed in the last four decades by the emergence and application of cellular automata …
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 …
Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules
The dynamic relationships between land use change and its driving forces vary spatially and
can be identified by geographically weighted regression (GWR). We present a novel cellular …
can be identified by geographically weighted regression (GWR). We present a novel cellular …
Developing policy scenarios for sustainable urban growth management: A Delphi approach
In many parts of the world, a rapid urbanization process is taking place at an unprecedented
scale, and its drastic impacts on societies and the environment are evident. To combat the …
scale, and its drastic impacts on societies and the environment are evident. To combat the …
Exploring prospective urban growth trends under different economic outlooks and land-use planning scenarios: The case of Athens
Simulation modeling along with scenario analysis is a useful tool for urban planning, by
providing an appraisement of different alternatives and tradeoffs and thus contributing to …
providing an appraisement of different alternatives and tradeoffs and thus contributing to …
Climate change preparedness: Comparing future urban growth and flood risk in Amsterdam and Houston
Rising sea levels and coastal population growth will increase flood risk of more people and
assets if land use changes are not planned adequately. This research examines the efficacy …
assets if land use changes are not planned adequately. This research examines the efficacy …
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 …