The Integration of Heterogeneous Open Source Software to Develop a Dynamic Urban Growth Simulation Model

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The Integration of Heterogeneous Open Source Software to Develop a Dynamic Urban Growth Simulation Model
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Seoul, South Korea

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Recent development of open source geospatial software offers new opportunities for the spatial analysis and urban modeling fields. The use of open source software enables analysts and modelers to build dedicated and advanced models through computer programing. However, many open source geospatial software usually provides building blocks for the static data management, analysis, and visualization. Hence, development of dynamic simulation model with open source geospatial software is not yet fully fledged. The goals of this study are twofold. Firstly, it aims to develop a dynamic urban growth simulation model by using and integrating heterogeneous open source software such as R and Processing. Secondly, by doing so, it aims to develop a new way to use binominal logistic regression analysis as a method for dynamic urban growth simulation. The research uses R and Processing to develop an urban growth simulation model. The former is a well-known open source statistical software, and the latter is an open source software for data visualisation. The integration of two open source software and the model development are carried out in Java programming environment. The reason of such integration is to build a dynamic urban growth simulation from a conventional binominal logistic regression analysis. Binominal logistic regression is well-known method to calculate a certain choice probability, and it has often been used to analyse the possibility of future urban development. However, the result from such logistic regression by nature is stochastic and static. To make it as a key method for urban growth simulation, what this research has done is the integration of following tasks: execution of logistic regression, extraction of coefficients from the result, calculation of development probability, allocation of new development, and visulaisation of such urban development. The model was applied to a case study area, Busan Metropolitan Area, Korea in order to examine its usability. It has produced statistically meaningful outcome, and the model shows a new way of developing dynamic urban simulation model. However, all data processing work is done with a separate work process, and not integrated with the model. It could be a future study.
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