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- W2183654682 abstract "Urban spatial models are important to many professions, and they can be used in a wide range of urban decision-making applications. This paper describes a methodology for automatic generation of an urban spatial model from a GIS source. The methodology uses a Voronoi polygon-based method in order to split the urban space. After partitioning the GIS, functional characteristics are used to generate zones of interest at each Voronoi polygon. The paper also presents examples of applications of the model: a two dimensional model used for micro- simulation of traffic, and a three-dimensional model used for simulation of air pollution. The spatial data representation of urban systems presents sev- eral challenges. Data may be heterogeneous, unordered, or they may come from multiple sources. The classical geographical in- formation systems (GIS) approach use layers as data represen- tation units; each layer is related to a subject, and many layers can be overlapped to show a variety of subjects. The classical approach offers overlapping layers for the same space, though when a specific spatial partition is required the data integration may not be that efficient if there are many layers. We propose a data representation model based on spatial partitions, which saves several complex features from a specific urban space. Also the proposed data model offers a hierarchical structure that may be easier to understand than a classic approach. This paper presents a methodology for generation of a spa- tial data model, and two implementations illustrating the pro- posed model's functionality. This paper is organized in the fol- lowing way: the second section reviews some previous work in urban representation schemes. The third section lays out the methodology for the construction of the model. The fourth section shows an example of its implementation on an urban landscape and showcases two different modeling applications using our methodology as a basis: an urban traffic simulator and an urban air quality simulation. Finally, the fifth section presents conclusions." @default.
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- W2183654682 date "2010-01-01" @default.
- W2183654682 modified "2023-09-26" @default.
- W2183654682 title "Methodology for Automatic Generation of Distributed Urban Spatial Models from GIS Data" @default.
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