scholarly journals Accuracy assessments of land use change simulation based on Markov-cellular automata model

2012 ◽  
Vol 13 ◽  
pp. 1238-1245 ◽  
Author(s):  
S.Q. Wang ◽  
X.Q. Zheng ◽  
X.B. Zang
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Cellular Automata Model ◽  
Simulation Based ◽  
Accuracy Assessments

A GIS-Based Irregular Cellular Automata Model of Land-Use Change

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Data ◽  
Cellular Automata Model ◽  
Population Growth Rates ◽  
Asynchronous Development ◽  
Canadian City ◽  
Ca Model ◽  
Developing Area

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.

scholarly journals A Cellular Automata Model for Integrated Simulation of Land Use and Transport Interactions

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Studies ◽  
Particle Swarm Algorithm ◽  
Cellular Automata Model ◽  
Integrated Simulation ◽  
The Road ◽  
Ca Model ◽  
The City

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.

scholarly journals CELLULAR AUTOMATA MODEL – LANDSCAPE DYNAMICS SIMULATION TOOL IN THE PROCESS OF CHANGE IN LAND USE AND COVER IN THE CITY OF GAÚCHA DO NORTE – MT

2020 ◽  
Vol XLII-3/W12-2020 ◽  
pp. 447-451
Author(s):  
E. A. L. Pinheiro ◽  
N. A. Camini ◽  
M. R. S. Soares ◽  
S. S. Sumida
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Land Use Changes ◽  
Environmental Modeling ◽  
Dynamics Simulation ◽  
Cellular Automata Model ◽  
The City ◽  
Land Use And Cover ◽  
Main Factor

Abstract. The factors that contribute to land use change in the municipality of Gaúcha do Norte - MT, are entirely linked to the economic process and agricultural production. This process has left Brazil in a state of alert due to the process of deforestation and loss of tropical forests. From 2000 to 2010, the forest areas converted into agriculture accounted for 13.3%, the main factor that directly potentiated with deforestation was the cultivation of soybeans, which in turn was occupying places previously occupied by livestock and pushing the livestock forest inside. The phenomena of land use change and land cover start from multidimensional issues in the environmental and economic context. The use of environmental modeling through cellular automata to analyze land use change phenomena and reproduce the trajectory through future land use simulations and evolution establishes an integration associated by mathematical models and flow integration systems. That predict the trajectory of land use change, thus generating a dynamic model capable of predicting future land use changes by replicating possible patterns of landscape evolution and enabling assessments of future ecological implications for the environment.

A novel cellular automata model integrated with deep learning for dynamic spatio-temporal land use change simulation

2020 ◽  
Vol 137 ◽  
pp. 104430 ◽  
Author(s):  
Weiran Xing ◽  
Yuehui Qian ◽  
Xuefeng Guan ◽  
Tingting Yang ◽  
Huayi Wu
Keyword(s):  
Land Use ◽  
Deep Learning ◽  
Cellular Automata ◽  
Land Use Change ◽  
Cellular Automata Model ◽  
Spatio Temporal

scholarly journals Prediction of Land Use Change Due to Light Rail Transit (LRT) Development in Palembang

2020 ◽  
Vol 22 (1) ◽  
pp. 124-129
Author(s):  
Isro Saputra ◽  
F A Nabila
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Light Rail ◽  
Rail Transit ◽  
Land Uses ◽  
Light Rail Transit ◽  
Cellular Automata Model ◽  
Commercial Activities ◽  
National Priority

Light rail transit (LRT) is an effective transportation in serving the needs of movement in urban area that can increase commercial land uses. The first construction of LRT in Palembang started in 2015 which became one of the national priority projects in Indonesia. The development had an impact on land use change around the LRT corridor. This paper attempts to identify land use change due to LRT development in Palembang. This study used an explorative approach to develop an understanding of land use change due to the development of LRT and Markov-cellular automata model to predict the change. The results of this study indicated that the prediction of land use change in 2025 around the LRT corridor tends to shift more into commercial land use, this will increase investment from commercial activities in the Palembang LRT Corridor.

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