A Hybrid CA-ANN-Fuzzy Model for Simulating Coastal Changing Patterns

Rocha, Jorge; Gutierres, Francisco; Gomes, Pedro T.; Teodoro, Ana Cláudia

doi:10.1007/978-3-319-58304-4_10

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…Based on such, we recommend future studies could use the non-linear models to explore the soundscape spatiotemporal properties and to predict soundscape perception based on such. The models, such as the cellular automata, artificial neural networks, and Fuzzy-logic models [85,86]. Although the linear model is not perfect, the spatial regression model used in this study still presented a relatively better performance in spatially explaining the soundscape quality than the conventional regression model [20].…”

Section: Limitations and Future Studiesmentioning

confidence: 88%

Before Becoming a World Heritage: Spatiotemporal Dynamics and Spatial Dependency of the Soundscapes in Kulangsu Scenic Area, China

Chen

Zhu

Liu

et al. 2022

Forests

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Kulangsu is a famous scenic area in China and a World Heritage Site. It is important to obtain knowledge with regard to the status of soundscape and landscape resources and their interrelationships in Kulangsu before it became a World Heritage. The objective of this study was to explore the spatial dependency of the soundscapes in Kulangsu, based on the spatiotemporal dynamics of soundscape and landscape perceptions, including perceived sound sources, soundscape quality, and landscape satisfaction degree, and the spatial landscape characteristics, including the distance to green spaces, normalized difference vegetation index, and landscape spatial patterns. The results showed that perception of soundscape and landscape were observed in significant spatiotemporal dynamics, and the dominance of biological sounds in all sampling periods and human sounds in the evening indicated that Kulangsu scenic area had a good natural environment and a developed night-time economy, respectively. The green spaces and commercial lands may contribute to both the soundscape pleasantness and eventfulness. Moreover, the soundscape quality was dependent on the sound dominant degree and landscape satisfaction degree but not on the landscape characteristics. The GWR model had better goodness of fit than the OLS model, and possible non-linear relationships were found between the soundscape pleasantness and the variables of perceived sound sources and landscape satisfaction degree. The GWR models with spatial stationarity were found to be more effective in understanding the spatial dependence of soundscapes. In particular, the data applied should ideally include a complete temporal dimension to obtain a relatively high fitting accuracy of the model. These findings can provide useful data support and references for future planning and design practices, and management strategies for the soundscape resources in scenic areas and World Heritage Sites.

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Section: Limitations and Future Studiesmentioning

confidence: 88%

Before Becoming a World Heritage: Spatiotemporal Dynamics and Spatial Dependency of the Soundscapes in Kulangsu Scenic Area, China

Chen

Zhu

Liu

et al. 2022

Forests

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“…Obvious functional zoning phenomena occur in the land within the city due to the influence of natural and social attributes, which reflect changes and differentiation of land use types. Therefore, in the process of simulating variations in land use, consideration of natural and social attributes is necessary to achieve more scientific and rational simulations [83]. In this study, location factors of natural factors were classified and fuzzed according to Tables 4 and 5 were the final selected values (recorded as C 0 ).…”

Section: Location Factormentioning

confidence: 99%

Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian

Yang

Weiling

et al. 2018

Complexity

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The spatial evolution of land use in Jinzhou area was simulated using fuzzy cellular automata to determine all factors influencing urban land use change. For this purpose, land use data of multiple sources and remote sensing images from 2003 to 2015 were analyzed. The following results were obtained: (1) real land use data and simulation data for 2015 were tested using four indices. Under the 5 m × 5 m scale, the model shows good performance for simulation of areas with various land use types. (2) Among simulations under four scenarios, the effect of traffic guidance on the development of construction land was more distinct under the economic development mode, which clearly showed the phenomenon of “agglomeration” along major traffic lines. (3) Jinshitan Street is adjacent to the sea, and land use changes are significant under the 4th scenario, and thus related departments should pay more attention. (4) Shortcomings of conventional cellular automata model in processing complex systems could be mitigated through the integration of fuzzy sets.

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

Aburas

Ahamad

Omar

2019

Environ Monit Assess

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A Hybrid CA-ANN-Fuzzy Model for Simulating Coastal Changing Patterns

Cited by 4 publications

References 62 publications

Before Becoming a World Heritage: Spatiotemporal Dynamics and Spatial Dependency of the Soundscapes in Kulangsu Scenic Area, China

Before Becoming a World Heritage: Spatiotemporal Dynamics and Spatial Dependency of the Soundscapes in Kulangsu Scenic Area, China

Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian

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

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