Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review

MM Aburas, MSS Ahamad, NQ Omar - Environmental monitoring and …, 2019 - Springer
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 …

Modeling urban land-use changes using a landscape-driven patch-based cellular automaton (LP-CA)

J Lin, X Li, Y Wen, P He - Cities, 2023 - Elsevier
Cellular automaton (CA) is a widely-used tool for modeling land-use changes that can
enhance our understanding of past and future urban development. Previous studies have …

An optimized evaluation method of an urban ecological network: The case of the Minhang District of Shanghai

R Zhang, L Zhang, Q Zhong, Q Zhang, Y Ji… - Urban Forestry & Urban …, 2021 - Elsevier
Obtaining the characteristics of an urban ecological network structure and connectivity plays
an important guiding role in the concrete implementation of ecological construction in a …

Cities are going uphill: Slope gradient analysis of urban expansion and its driving factors in China

L Zhou, X Dang, H Mu, B Wang, S Wang - Science of the Total Environment, 2021 - Elsevier
Rapid urbanisation causes large urban conversions of natural and agricultural land to non-
agricultural use. Research on urban expansion has typically disregarded gradient …

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 …

A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation

W **ng, Y Qian, X Guan, T Yang, H Wu - Computers & Geosciences, 2020 - Elsevier
Land use change (LUC) exhibits obvious spatio-temporal dependency. Previous cellular
automata (CA)-based methods usually treated the LUC dynamics as Markov processes and …

Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation

Y Qian, W **ng, X Guan, T Yang, H Wu - Science of the Total Environment, 2020 - Elsevier
Urbanization processes have accelerated over recent decades, prompting efforts to model
land use change (LUC) patterns for decision support and urban planning. Cellular automata …

Towards sustainable and livable cities: leveraging remote sensing, machine learning, and geo-information modelling to explore and predict thermal field variance in …

M Waleed, M Sajjad, AO Acheampong, MT Alam - Sustainability, 2023 - mdpi.com
Urbanization-led changes in land use land cover (LULC), resulting in an increased
impervious surface, significantly deteriorate urban meteorological conditions compromising …

Urban growth boundaries optimization under low-carbon development: Combining multi-objective programming and patch cellular automata models

J Li, JM Guldmann, J Gong, H Su - Journal of Environmental Management, 2023 - Elsevier
Abstract Urban Growth Boundaries (UGBs) are a tool to control urban sprawl. However, the
way to optimize future urban land uses and fix their boundaries is not clear. This paper …

A three-dimensional future land use simulation (FLUS-3D) model for simulating the 3D urban dynamics under the shared socio-economic pathways

X Xu, D Ding, X Liu - Landscape and Urban Planning, 2024 - Elsevier
Existing research on urban dynamic simulations has primarily focused on horizontal
aspects, whereas vertical changes have remained relatively unexplored. Although a few …