From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory

González, Pablo Barreira; Delgado, Montserrat Gómez; Benavente, Francisco Aguilera

doi:10.1016/j.compenvurbsys.2015.07.004

Cited by 68 publications

(40 citation statements)

References 88 publications

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“…Parcels that are developed in each iteration are updated in the database, serving as input for following iterations. A more detailed account of model implementation is given in Barreira-González et al (2015).…”

Section: The Irregular Graph Ca Modelmentioning

confidence: 99%

“…For this reason, the model proposed by Barreira-González et al (2015), following O'Sullivan's approach (2001a), uses graph theory to reduce computational time as well as to extract neighbourhood definition in combination with vector analysis tools, which are standard in most GIS packages.…”

Section: The Irregular Graph Ca Modelmentioning

confidence: 99%

“…For the BAU, the same definition of neighbourhood was employed. The neighbourhood effect functions were derived from neighbourhood effect masks implemented in a previous version of this CA-based model, which employed a regular grid to represent space and was used to analyse the same study area (see Barreira-González et al, 2015).…”

Section: Implementing Neighbourhood Effect Functions In the Simulatiomentioning

confidence: 99%

“…The irregular CA-based model employed here (Barreira-González et al, 2015) was developed to simulate land use change in urban areas in Spain. The model simulates land use change for two urban land uses: residential and productive (commercial and industry).…”

Section: The Irregular Graph Ca Modelmentioning

confidence: 99%

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Configuring the neighbourhood effect in irregular cellular automata based models

González

Barros

2016

International Journal of Geographical Information Science

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Abstract:Cellular automata (CA) models have been widely employed to simulate urban growth and land use change. In order to represent urban space more realistically, new approaches to CA models have explored the use of vector data instead of traditional regular grids. However, the use of irregular CA-based models brings new challenges as well as opportunities. The most strongly affected factor when using an irregular space is neighbourhood. Although neighbourhood definition in an irregular environment has been reported in the literature, the question of how to model the neighbourhood effect remains largely unexplored.In order to shed light on this question, this paper proposed the use of spatial metrics to characterise and measure the neighbourhood effect in irregular CA-based models. These metrics, originally developed for raster environments, namely the enrichment factor and the neighbourhood index, were adapted and applied in the irregular space employed by the model. Using the results of these metrics, distance-decay functions were calculated to reproduce the push-and-pull effect between the simulated land uses. The outcomes of a total of 55 simulations (five sets of different distance functions and eleven different neighbourhood definition distances) were compared with observed changes in the study area during the calibration period. Our results demonstrate that the proposed methodology improves the outcomes of the urban growth simulation model tested and could be applied to other irregular CA-based models.

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Section: The Irregular Graph Ca Modelmentioning

confidence: 99%

Section: The Irregular Graph Ca Modelmentioning

confidence: 99%

Section: Implementing Neighbourhood Effect Functions In the Simulatiomentioning

confidence: 99%

Section: The Irregular Graph Ca Modelmentioning

confidence: 99%

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Configuring the neighbourhood effect in irregular cellular automata based models

González

Barros

2016

International Journal of Geographical Information Science

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“…An approach combining CA with GIS promises to deliver a powerful modeling tool, as well as an efficient data handling system. However, CA has a strong sensitivity to cell size [16]. Moreover, the resolution of remote sensing imagery has a great influence on the quality of classification results, and classification error will be passed on to the simulation results, which leads to unavoidable inaccuracy in the simulation results.…”

Section: Discussionmentioning

confidence: 99%

Simulation of Land Use Changes in a Coastal Reclaimed Area with Dynamic Shorelines

et al. 2017

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Abstract:Reclamation is capable of creating abundant land to alleviate the pressure from land shortages in China. Nevertheless, coastal reclamation can lead to severe environmental degradation and landscape fragmentation. It is quite important to monitor land use and cover change (LUCC) in coastal areas, assess coastal wetland change, and predict land use requirements. The siltation of tidal flats will result in the dynamic growth and continuous expansion of coastal areas. Therefore, the process of land change in coastal areas is different from that under the fixed terrestrial boundary condition. Cellular Automata and Multi-Agent System (CA-MAS) models are commonly used to simulate LUCC, and their advantages have been well proven under the fixed boundary condition. In this paper, we propose CA-MAS combined with a shoreline evolution forecast (CA-MAS-SEF) model to simulate the land change in coastal areas. Meanwhile, the newly increased area, because of the dynamic growth of tidal flats, is considered in the simulation process. The simulation results using the improved method are verified, and compared with observed patterns using spatial overlay. In comparison with simulation results that do not consider the expansion of tidal flats, the Kappa coefficient estimated while considering the dynamic growth of tidal flats is improved from 65.9% to 70.5%, which shows that the method presented here can be applied to simulate the LUCC in growing coastal areas.

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Complexity, Non-Locality and Riddledness in Landscape Dynamics

Papadimitriou

2023

RaumFragen: Stadt – Region – Landschaft

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From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory

Cited by 68 publications

References 88 publications

Configuring the neighbourhood effect in irregular cellular automata based models

Configuring the neighbourhood effect in irregular cellular automata based models

Simulation of Land Use Changes in a Coastal Reclaimed Area with Dynamic Shorelines

Complexity, Non-Locality and Riddledness in Landscape Dynamics

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