[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography

P Liu, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

[HTML][HTML] Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method

H Wu, A Lin, X Xing, D Song, Y Li - International Journal of Applied Earth …, 2021 - Elsevier
Rapid urbanization at the expense of the environment led to a reduction in vegetation cover,
and consequently aggravated land degradation, urban water logging, heat island effect and …

Bridging landscape ecology and urban science to respond to the rising threat of mosquito-borne diseases

PA Kache, M Santos-Vega, AM Stewart-Ibarra… - Nature Ecology & …, 2022 - nature.com
The prevalence of diseases borne by mosquitoes, particularly in the genus Aedes, is rising
worldwide. This has been attributed, in part, to the dramatic rates of contemporary …

[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …

S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …

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 …

Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures

X Liang, Q Guan, KC Clarke, G Chen, S Guo… - Landscape and Urban …, 2021 - Elsevier
When used for land use change modeling, Cellular Automata (CA) usually assume that each
cell has only one land use type at each time step, ignoring the mixed land use structures that …

CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions

Y Yao, Z Sun, L Li, T Cheng, D Chen, G Zhou, C Liu… - Cities, 2023 - Elsevier
Forecasting cities' carbon emissions is an essential support for peak carbon emissions.
Previous studies have mainly focused on estimating carbon emissions at large regional …

Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: A case study of Huizhou, China

X Wu, X Liu, D Zhang, J Zhang, J He… - GIScience & Remote …, 2022 - Taylor & Francis
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 …

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 …

DFCNN-based semantic recognition of urban functional zones by integrating remote sensing data and POI data

H Bao, D Ming, Y Guo, K Zhang, K Zhou, S Du - Remote Sensing, 2020 - mdpi.com
The urban functional zone, as a special fundamental unit of the city, helps to understand the
complex interaction between human space activities and environmental changes. Based on …