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

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.

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

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10030149 ◽

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.

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Enhancing a GIS Cellular Automata model of land use change using Support Vector Machine

2009 17th International Conference on Geoinformatics ◽

10.1109/geoinformatics.2009.5292862 ◽

2009 ◽

Cited By ~ 4

Author(s):

O. Okwuashi ◽

P. Nwilo ◽

J. McConchie ◽

E. Eyo

Keyword(s):

Land Use ◽

Support Vector Machine ◽

Cellular Automata ◽

Land Use Change ◽

Support Vector ◽

Cellular Automata Model

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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

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w12-2020-447-2020 ◽

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.

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Cellular automata for simulating land-use change with a constrained irregular space representation: A case study in Nanjing city, China

Environment and Planning B Urban Analytics and City Science ◽

10.1177/2399808320949889 ◽

2020 ◽

pp. 239980832094988

Author(s):

Jie Zhu ◽

Yizhong Sun ◽

Shuyin Song ◽

Jing Yang ◽

Hu Ding

Keyword(s):

Land Use ◽

Cellular Automata ◽

Land Use Change ◽

Urban Space ◽

Spatial Reasoning ◽

Land Use Changes ◽

Space Representation ◽

Change Models ◽

Geographic Space ◽

Ca Model

Traditional cell-based cellular automata (CA) models use a regular cellular grid to represent geographic space, and new approaches to CA models have explored the use of a vector representation of space instead of a regular grid to characterize urban space more realistically. However, less attention has been paid to modeling the interaction between the geospatial information and the irregular cells. To date, the majority of spatial boundaries have been created by individual agencies in an uncoordinated manner. As a consequence, the potential uses of the data collected for land-use change models are limited. In this paper, we propose a new vector-based CA model based on a new constrained irregular space representation using the theory of hierarchical spatial reasoning. For dividing the geographic space considering different items, first land patches are considered as the minimum division unit; then aggregation rules, including attribute, geometric and boundary barrier constraints, are defined; and finally different levels of spatial units are formed through land patches based on aggregation rules. The proposed model is used to simulate the land-use changes in Nanjing, Jiangsu Province, China. The performance validation and comparison illustrate the feasibility of the proposed space representation in a CA model. By using this model, it is expected that the use of the real spatial boundaries that are employed in urban planning could help provide a flexible paradigm to consider various drivers or constraints for realistically simulating land-use changes.

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