Virtual Cities

Albeaik, Saleh; Alrished, Mohamad; Aldawood, Salma; Alsubaiee, Sattam; Alfaris, Anas

doi:10.1145/3139958.3140025

Cited by 10 publications

(5 citation statements)

References 8 publications

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“…Park and Guldmann 2019 [22] estimated building heights for the LOD1+ model (an extended white box model in which one building is represented by a combination of white boxes with multiple heights) by extracting only the point cloud of building roof surfaces from the ALS point cloud. Albeaik et al 2017 [23] corrected a low-resolution noisy ALS point cloud to create an LOD1 building 3D model.…”

Section: D Point Cloud Matchingmentioning

confidence: 99%

Geometric-based approach for linking various building measurement data to a 3D city model

Ogawa,

Sato,

Sekimoto

2024

PLoS ONE

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Currently, the Ministry of Land, Infrastructure, Transport, and Tourism (Japan) is in the process of developing an open 3D city model known as PLATEAU. Abundant measurement data related to buildings, including maps produced by private companies and mobile mapping system point clouds, have been collected to enhance the value of the 3D city model. To achieve this, it is necessary to identify the buildings for which measurement data is available. In this study, we propose and evaluate an efficient matching method for various building measurement data, primarily using geometric properties. In Numazu city, PLATEAU IDs were assigned to 88,525 Zenrin buildings as part of a private map. The results indicate that 90.6% of the polygons were matched. For aerial images, 93.6% of the extracted buildings matched the PLATEAU buildings, although only 70.9% of the PLATEAU data was extracted from the images. Using the level of detail 1 and 2 models, 46 textured building files were created from the mobile mapping system point cloud. In addition, the cover ratio for the laser profiling point cloud was mostly greater than 40%, which was higher than that of the mobile mapping system.

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Section: D Point Cloud Matchingmentioning

confidence: 99%

Geometric-based approach for linking various building measurement data to a 3D city model

Ogawa,

Sato,

Sekimoto

2024

PLoS ONE

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“…The majority of surveyed papers related to sunlight access were domain‐specific ones (25 out of 39), either proposing new efficient approaches to compute data (Figure 4 (Data creation)), studies analyzing the energy potential in different cities [Zha13, BMW*16, DLD*16, KKO18, DLV17, OS18, ZYS*19, FPP*21] or for different scenarios, such as pedestrian comfort [DL19], photovoltaic panels [FWC22, ZWK*22, ZWL*23], urban farming [PSTB21], retrofit [SCF20] or data standards [BLSV16]. While not their primary target, a number of domain‐specific papers use sunlight access and shading as one of their attributes of interest [AAA*17, YNK*18, WDDH19, WM20]. Regarding visualization contributions tackling sunlight access, the majority were interactive visualization systems specifically designed for this type of problem [MDL*19] or that use sunlight as an attribute of interest [WHG10, EPTD12, WSK18, ZZL21].…”

Section: Primary Dimensions (Why)mentioning

confidence: 99%

“…Other domain‐specific contributions include general frameworks (with simple visualization components) for the assessment of energy usage [MTML18, AAA*19, ABLD*22]. Data creation contributions include Albeaik et al with the creation of 3D urban models for energy and sunlight assessment [AAA*17], and Krietemeyer and Kontar [KK19] and Wolosiuk and Mahdavi [WM20] with data integration methods for building performance assessment. Bartosh and Gu presented an immersive visualization system that enabled users to explore energy consumption data [BG19].…”

Section: Primary Dimensions (Why)mentioning

confidence: 99%

The State of the Art in Visual Analytics for 3D Urban Data

Miranda,

Ortner,

Moreira

et al. 2024

Computer Graphics Forum

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Urbanization has amplified the importance of three‐dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of 3D urban data, numerous studies have focused on developing visual analysis techniques tailored to the unique characteristics of urban environments. However, incorporating the third dimension into visual analytics introduces additional challenges in designing effective visual tools to tackle urban data's diverse complexities. In this paper, we present a survey on visual analytics of 3D urban data. Our work characterizes published works along three main dimensions (why, what, and how), considering use cases, analysis tasks, data, visualizations, and interactions. We provide a fine‐grained categorization of published works from visualization journals and conferences, as well as from a myriad of urban domains, including urban planning, architecture, and engineering. By incorporating perspectives from both urban and visualization experts, we identify literature gaps, motivate visualization researchers to understand challenges and opportunities, and indicate future research directions.

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“…Stoter et al [2] discussed smart cities, digital twins, and the current state of 3D urban modeling in computer-based urban spatial analysis in which they reviewed model consistency, standardization, data quality, data interoperability, and data maintenance. Albeaik et al [3] developed a fully automatic 3D modeling pipeline that utilizes a low-resolution noisy LiDAR dataset to create a city-scale 3D model. Kang and Lee [4] examined WebGL-based tiles and developed a data-oriented rendering method for wide-area buildings.…”

Section: Related Workmentioning

confidence: 99%

Constructing a digital city on a web-3D platform

Seto

Sekimoto

Asahi³

et al. 2020

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

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In this study, we develop a platform that can display approximately 20 types of data via a web browser to realize a digital twin of a wider area, including a detailed reading display of block units and individual three-dimensional point cloud data (point cloud) of a city. Using actual data, we examine if the data model and visualization design correspond with the zoom level. Owing to the comparative examination of the wide-area display performance and the map representation design in a JavaScriptbased open-source library, we were able to develop a platform with light architecture and an easily customizable display. Furthermore, prototyping, based on Mapbox GL JS and Deck.GL, and the display of spatiotemporal flow layers, such as background maps, point cloud data in many places, dozens of layer display types, and the General Transit Feed Specification (GTFS) allowed for the seamless transition from the local government to the widearea display in the prefecture unit in approximately 10-20 s. It is recommended that this digital smart city platform should be standardized by other local governments, especially in areas where higher-order data visualization is yet to advance. To display this digital city in a lightweight environment, we consider the digital data situation of local governments in Japan. It is necessary to define the visualized design for each zoom level according to the characteristics of the data. We then arranged the display model of each zoom level for 20 types of urban infrastructure data related to the digital smart city by referring to the style schema of the tile form. Through these tasks, we organized the commonality and optimization of data models and formats. CCS CONCEPTS •Information systems → Data management systems →Database design and models

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Virtual Cities

Cited by 10 publications

References 8 publications

Geometric-based approach for linking various building measurement data to a 3D city model

Geometric-based approach for linking various building measurement data to a 3D city model

The State of the Art in Visual Analytics for 3D Urban Data

Constructing a digital city on a web-3D platform

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