Integrating multi-criteria analysis and spherical cellular automata approach for modelling global urban land-use change

Addae, Bright; Dragićević, Suzana

doi:10.1080/10106049.2022.2152498

Cited by 5 publications

(3 citation statements)

References 69 publications

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“…Such improvements necessitate the need for utilizing high‐performance computing facilities due to the increased computational demands that come with improved spatial resolution of the system, number of datasets, and complexity of the system being modeled. Furthermore, the function of transition rules in the SGA model can be augmented by incorporating more comprehensive data and parameters (Addae & Dragićević, in press), spatial decision‐making methods such as spatial MCE (Addae & Dragićević, 2022) or machine learning techniques as well as considering multiple land‐use changes and transition rules representing human–environment processes at different spatial scales. This can be especially useful when simulating spatiotemporal processes where human decision‐making is important; thus the SGA models can be used in policy planning and management at the global level.…”

Section: Discussionmentioning

confidence: 99%

Enabling geosimulations for global scale: Spherical geographic automata

Addae

Dragićević

2023

Transactions in GIS

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Several complex dynamic spatial systems are operating on the global scale. Their representation with existing geosimulation models is limited to planar level and do not consider the curvature of the Earth's surface. Thus, the objective of this study is to propose and develop a spherical geographic automata (SGA) modeling approach to represent and simulate dynamic spatial processes at the global level. The proposed SGA model is implemented for three case studies including simulations of: (1) Game of Life as population dynamics; (2) urban land‐use growth; and (3) deforestation all operating on the spherical Earth's surface. Simulation results indicate that the proposed SGA modeling approach can represent spatial processes such as expansion and shrinkage dynamics on the Earth's surface. The proposed approach has the potential to be adopted to represent different complex systems such as ecological, epidemiological, socioeconomic, and Earth systems processes to support environmental management and policymaking at the global level.

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Section: Discussionmentioning

confidence: 99%

Enabling geosimulations for global scale: Spherical geographic automata

Addae

Dragićević

2023

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“…The urban areas have become technical playgrounds where testing new solutions, While an Asian world, with greater availability of unbuilt land and a growing population, is experimenting with the planning of newly founded urban centres, creating realities such as sponge cities and forest cities [41][42][43][44][45][46]. Already highly urbanised territories with almost no population growth, such as Europe, are posing the problem of how to adapt existing urban centres without excessively altering the existing urban fabric, thus protecting all those areas subject to historical and cultural constraints [47]. Adaptation/retrofitting solutions were proposed at the building scale up to the most recent adaptive form on a district scale.…”

Section: The Climate Crisis-adaptation and Mitigation Policiesmentioning

confidence: 99%

Supporting Cities towards Carbon Neutral Transition through Territorial Acupuncture

et al. 2023

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Since a solution towards carbon neutrality in already highly populated territories that does not profoundly alter the territories has not yet been found, territorial acupuncture, a new methodology presented in this paper, proposes a solution to this challenge and simultaneously helps to counter the dysfunctional dichotomy between large urban centres and small towns. The aim of this study is therefore to present this new concept and its operation. Hence, a phased study was carried out. Territorial acupuncture is the result of merging different theories and practices, such as Biourbanism, urban acupuncture, and energy community design. For Territorial Acupuncture, the territory is conceived as a single organism and, just like acupuncture in traditional Chinese medicine, punctual interventions (in this case, interconnected energy communities) would benefit the entire territory organism. To make the theory work properly, it will be necessary to carry out multi-scalar and multi-disciplinary analyses over the entire territory to identify the intervention points and then proceed to the design and interconnection of the individual district. Thus, Territorial Acupuncture provides a new approach to the resilience of densely populated territories, which, through punctual interventions on a district scale, benefits the entire territory by modifying energy, socio-economic, and environmental dynamics.

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“…The global spatial datasets are transformed into hexagonal spatial tessellations as the model input. The spherical geographic deforestation model extends the previous research study [42] and can be formulated as follows:…”

Section: Global Deforestation Spherical Geographic Automatamentioning

confidence: 99%

Modelling Global Deforestation Using Spherical Geographic Automata Approach

Addae,

Dragićević

2023

IJGI

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Deforestation as a land-cover change process is linked to several environmental problems including desertification, biodiversity loss, and ultimately climate change. Understanding the land-cover change process and its relation to human–environment interactions is important for supporting spatial decisions and policy making at the global level. However, current geosimulation model applications mainly focus on characterizing urbanization and agriculture expansion. Existing modelling approaches are also unsuitable for simulating land-cover change processes covering large spatial extents. Thus, the objective of this research is to develop and implement a spherical geographic automata model to simulate deforestation at the global level under different scenarios designed to represent diverse future conditions. Simulation results from the deforestation model indicate the global forest size would decrease by 10.5% under the “business-as-usual” scenario through 2100. The global forest extent would also decline by 15.3% under the accelerated deforestation scenario and 3.7% under the sustainable deforestation scenario by the end of the 21st century. The obtained simulation outputs also revealed the rate of deforestation in protected areas to be considerably lower than the overall forest-cover change rate under all scenarios. The proposed model can be utilized by stakeholders to examine forest conservation programs and support sustainable policy making and implementation.

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Integrating multi-criteria analysis and spherical cellular automata approach for modelling global urban land-use change

Cited by 5 publications

References 69 publications

Enabling geosimulations for global scale: Spherical geographic automata

Enabling geosimulations for global scale: Spherical geographic automata

Supporting Cities towards Carbon Neutral Transition through Territorial Acupuncture

Modelling Global Deforestation Using Spherical Geographic Automata Approach

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