Using cellular automata for integrated modelling of socio-environmental systems

Engelen, Guy; White, Roger; Uljee, Inge; Drazan, P.J.

doi:10.1007/bf00546036

Cited by 141 publications

(63 citation statements)

References 10 publications

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“…The CA model has become adjustable, and is effective at simulating spatial patterns of LULC changes. The CA model provides an effective and interesting method for production for urban systems [24]. Although transition probabilities may be accurate for a particular class using the Markov model, there is no spatial element to this modeling process.…”

Section: Description Of Cellular Automata Modelmentioning

confidence: 99%

Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models

Wang

Murayama

2017

IJGI

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Abstract:In recent years, urban areas have been expanding rapidly in the world, especially in developing countries. With this rapid urban growth, several environmental and social problems have appeared. Better understanding of land use and land cover (LULC) change will facilitate urban planning and constrain these potential problems. As one of the four municipalities in China, Tianjin has experienced rapid urbanization and such trend is expected to continue. Relying on remote sensing (RS) and geographical information system (GIS) tools, this study investigates LULC change in Tianjin city. First, we used RS to generate classification maps for 1995, 2005, and 2015. Then, simulation models were applied to evaluate the LULC changes. Analysis of the 1995, 2005, and 2015 LULC maps shows that more than 10% of the cropland areas were transformed into built-up areas. Finally, by employing the Markov model and cellular automata (CA) model, the LULC in 2025 and 2035 were simulated and forecasted. Our analysis contributes to the understanding of the development process in the Tianjin area, which will facilitate future planning, as well as constraining the potential negative consequences brought by future LULC changes.

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Section: Description Of Cellular Automata Modelmentioning

confidence: 99%

Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models

Wang

Murayama

2017

IJGI

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“…The WADBOS model roughly resembles the model published by Engelen et al (1995), and is based on the use of constrained cellular automata for high resolution modelling as developed by Engelen (1988) and White et al (1997). An interesting option of the WADBOS is the possibility of modelling features at different levels (cf.…”

Section: First Integration Step: Towards a Habitat Mapmentioning

confidence: 99%

“…An interesting option of the WADBOS is the possibility of modelling features at different levels (cf. Engelen et al 1995). The highest level refers to the entire Wadden Sea, and the second level to one of the 12 geographical compartments.…”

Section: First Integration Step: Towards a Habitat Mapmentioning

confidence: 99%

Policy plans and management measures to restore eelgrass ( Zostera marina L.) in the Dutch Wadden Sea

Jonge¹,

Jong²,

Katwijk

2000

Helgoland Marine Research

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The Dutch Wadden Sea has been changed dramatically over the last centuries by human activities like land reclamation and different forms of fishery. This has, amongst other things, led to changes in the number of biological communities. One of the changes was the near extinction of eelgrass (Zostera marina L.) in the Dutch Wadden Sea. The deterioration of the area led to policy plans in the late 1980s that aimed at restoring the original natural communities of which the eelgrass community was one. This paper presents a restoration strategy which contains a selection procedure for suitable transplantation sites. The selection procedure is based on factors such as sediment composition, exposure time, current velocity and wave action. These were combined in a GIS-based map integrating these factors. One important action in the restoration process is to increase the number of freshwater discharge points to meet the requirements of the brackish water community in general and the growing conditions for eelgrass in particular.

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“…Applications of CA for land use change models in which both urban and rural land uses are considered are provided by Engelen et al (1995) and White and Engelen (2000) (Verburg et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Use of cellular automata in the study of variables involved in land use changes

Riccioli

Asmar

et al. 2012

Environ Monit Assess

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The study of changes in land use has been included lately in territorial processes in order to optimize future management decisions. The different functions that the territory plays (production, aesthetic, and natural functions, etc.) make planning choices more difficult. This work focuses on the selection and combination of a set of indicators to analyze the variables through which the changes occur in the land used in viticulture for wine production. The proposed approach makes use of the Geographic Information System (GIS) in the development of a map of land use scenario. It is applied to a case study through a model involving cellular automata (CA) implemented with maps of suitability for viticulture and Markov chains. The use in this case of the CA is aimed at validating the scenario map in order to deduce the variables and the orientations of the farmers in the field of wine production.

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Using cellular automata for integrated modelling of socio-environmental systems

Cited by 141 publications

References 10 publications

Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models

Change of Land Use/Cover in Tianjin City Based on the Markov and Cellular Automata Models

Policy plans and management measures to restore eelgrass ( Zostera marina L.) in the Dutch Wadden Sea

Use of cellular automata in the study of variables involved in land use changes

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