Impact of sewer overflow on public health: A comprehensive scientometric analysis and systematic review
Sewer overflow (SO), which has attracted global attention, poses serious threat to public
health and ecosystem. SO impacts public health via consumption of contaminated drinking …
health and ecosystem. SO impacts public health via consumption of contaminated drinking …
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] Analysis of the heterogeneity of urban expansion landscape patterns and driving factors based on a combined Multi-Order Adjacency Index and Geodetector …
J Liu, Q Xu, J Yi, X Huang - Ecological Indicators, 2022 - Elsevier
Under conditions of rapid urbanization, quantitative measurement of the expansion
characteristics of urban landscapes and evaluation of their spatial and temporal …
characteristics of urban landscapes and evaluation of their spatial and temporal …
A novel spatio-temporal cellular automata model coupling partitioning with CNN-LSTM to urban land change simulation
Y Zhou, C Huang, T Wu, M Zhang - Ecological Modelling, 2023 - Elsevier
Land use change (LUC) has gained attention as a core topic of global ecological
environment change research. The cellular automata (CA) model affects the global layout …
environment change research. The cellular automata (CA) model affects the global layout …
Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review
Spatio-temporal land-use change modeling, simulation, and prediction have become one of
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …
Simulation of urban expansion via integrating artificial neural network with Markov chain–cellular automata
Accurate simulations and predictions of urban expansion are critical to manage urbanization
and explicitly address the spatiotemporal trends and distributions of urban expansion …
and explicitly address the spatiotemporal trends and distributions of urban expansion …
Identifying the drivers of land expansion and evaluating multi-scenario simulation of land use: A case study of Mashan County, China
S Chen, S Yao - Ecological Informatics, 2023 - Elsevier
To reduce land conflicts and improve the coordination of human activities and land use, it is
crucial to conduct thorough research on sustainable land management and optimization. In …
crucial to conduct thorough research on sustainable land management and optimization. In …
[HTML][HTML] An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways
Y Chen - Computers, Environment and Urban Systems, 2022 - Elsevier
Most contemporary urban cellular automata (CA) models primarily focus on the simulation of
urban land expansion, and cannot effectively simulate vertical urban growth. This study …
urban land expansion, and cannot effectively simulate vertical urban growth. This study …
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 …
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 …