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Projecting Households of Synthetic Population on Buildings Using Fundamental Geospatial Data

In this paper, we propose a method to project households of synthetic population using fundamental geospatial data for real-world social simulations. That is, we assign each generated household on a building in a geographical map. When we try to conduct a real-scale social simulation, we need attrib...

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Detalles Bibliográficos
Principais autores: Takuya Harada, Tadahiko Murata
Formato: Artigo
Idioma:Inglês
Publicado: Taylor & Francis Group 2017-11-01
Series:SICE Journal of Control, Measurement, and System Integration
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Acceso en liña:http://dx.doi.org/10.9746/jcmsi.10.505
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