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Hadimlioglu, I. Alihan
King, Scott A.
author Hadimlioglu, I. Alihan
King, Scott A.
spellingShingle Hadimlioglu, I. Alihan
King, Scott A.
ISPRS International Journal of Geo-Information
City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
Earth and Planetary Sciences (miscellaneous)
Computers in Earth Sciences
Geography, Planning and Development
author_sort hadimlioglu, i. alihan
spelling Hadimlioglu, I. Alihan King, Scott A. 2220-9964 MDPI AG Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geography, Planning and Development http://dx.doi.org/10.3390/ijgi8070298 <jats:p>Recent innovations in 3D processing and availability of geospatial data have contributed largely to more comprehensive solutions to data visualization. As various data formats are utilized to describe the data, a combination of layers from different sources allow us to represent 3D urban areas, contributing to ideas of emergency management and smart cities. This work focuses on 3D urban environment reconstruction using crowdsourced OpenStreetMap data. Once the data are extracted, the visualization pipeline draws features using coloring for added context. Moreover, by structuring the layers and entities through the addition of simulation parameters, the generated environment is made simulation ready for further use. Results show that urban areas can be properly visualized in 3D using OpenStreetMap data given data availability. The simulation-ready environment was tested using hypothetical flooding scenarios, which demonstrated that the added parameters can be utilized in environmental simulations. Furthermore, an efficient restructuring of data was implemented for viewing the city information once the data are parsed.</jats:p> City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations ISPRS International Journal of Geo-Information
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title City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_unstemmed City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_full City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_fullStr City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_full_unstemmed City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_short City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_sort city maker: reconstruction of cities from openstreetmap data for environmental visualization and simulations
topic Earth and Planetary Sciences (miscellaneous)
Computers in Earth Sciences
Geography, Planning and Development
url http://dx.doi.org/10.3390/ijgi8070298
publishDate 2019
physical 298
description <jats:p>Recent innovations in 3D processing and availability of geospatial data have contributed largely to more comprehensive solutions to data visualization. As various data formats are utilized to describe the data, a combination of layers from different sources allow us to represent 3D urban areas, contributing to ideas of emergency management and smart cities. This work focuses on 3D urban environment reconstruction using crowdsourced OpenStreetMap data. Once the data are extracted, the visualization pipeline draws features using coloring for added context. Moreover, by structuring the layers and entities through the addition of simulation parameters, the generated environment is made simulation ready for further use. Results show that urban areas can be properly visualized in 3D using OpenStreetMap data given data availability. The simulation-ready environment was tested using hypothetical flooding scenarios, which demonstrated that the added parameters can be utilized in environmental simulations. Furthermore, an efficient restructuring of data was implemented for viewing the city information once the data are parsed.</jats:p>
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author Hadimlioglu, I. Alihan, King, Scott A.
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description <jats:p>Recent innovations in 3D processing and availability of geospatial data have contributed largely to more comprehensive solutions to data visualization. As various data formats are utilized to describe the data, a combination of layers from different sources allow us to represent 3D urban areas, contributing to ideas of emergency management and smart cities. This work focuses on 3D urban environment reconstruction using crowdsourced OpenStreetMap data. Once the data are extracted, the visualization pipeline draws features using coloring for added context. Moreover, by structuring the layers and entities through the addition of simulation parameters, the generated environment is made simulation ready for further use. Results show that urban areas can be properly visualized in 3D using OpenStreetMap data given data availability. The simulation-ready environment was tested using hypothetical flooding scenarios, which demonstrated that the added parameters can be utilized in environmental simulations. Furthermore, an efficient restructuring of data was implemented for viewing the city information once the data are parsed.</jats:p>
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spelling Hadimlioglu, I. Alihan King, Scott A. 2220-9964 MDPI AG Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geography, Planning and Development http://dx.doi.org/10.3390/ijgi8070298 <jats:p>Recent innovations in 3D processing and availability of geospatial data have contributed largely to more comprehensive solutions to data visualization. As various data formats are utilized to describe the data, a combination of layers from different sources allow us to represent 3D urban areas, contributing to ideas of emergency management and smart cities. This work focuses on 3D urban environment reconstruction using crowdsourced OpenStreetMap data. Once the data are extracted, the visualization pipeline draws features using coloring for added context. Moreover, by structuring the layers and entities through the addition of simulation parameters, the generated environment is made simulation ready for further use. Results show that urban areas can be properly visualized in 3D using OpenStreetMap data given data availability. The simulation-ready environment was tested using hypothetical flooding scenarios, which demonstrated that the added parameters can be utilized in environmental simulations. Furthermore, an efficient restructuring of data was implemented for viewing the city information once the data are parsed.</jats:p> City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations ISPRS International Journal of Geo-Information
spellingShingle Hadimlioglu, I. Alihan, King, Scott A., ISPRS International Journal of Geo-Information, City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations, Earth and Planetary Sciences (miscellaneous), Computers in Earth Sciences, Geography, Planning and Development
title City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_full City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_fullStr City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_full_unstemmed City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_short City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
title_sort city maker: reconstruction of cities from openstreetmap data for environmental visualization and simulations
title_unstemmed City Maker: Reconstruction of Cities from OpenStreetMap Data for Environmental Visualization and Simulations
topic Earth and Planetary Sciences (miscellaneous), Computers in Earth Sciences, Geography, Planning and Development
url http://dx.doi.org/10.3390/ijgi8070298