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The State of the Art in Visual Analytics for 3D Urban Data (2404.15976v1)

Published 24 Apr 2024 in cs.HC, cs.CY, and cs.GR

Abstract: 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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References (245)
  1. Abbasabadi N., Ashayeri M.: Urban energy use modeling methods and tools: A review and an outlook. Building and Environment 161 (2019), 106270.
  2. Virtual cities: 3D urban modeling from low resolution LiDAR data. In Proc. of the 2017 ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems (Redondo Beach, USA, 2017), SIGSPATIAL ’17, pp. 1–4.
  3. An integrated data-driven framework for urban energy use modeling (UEUM). Applied energy 253 (2019), 113550.
  4. Future Cities: Why Digital Twins Need to Take Complexity Science on Board. Tech. rep., 2021.
  5. UBEM.io: A web-based framework to rapidly generate urban building energy models for carbon reduction technology pathways. Sustainable Cities and Society 77 (2022), 103534.
  6. Allegrini J., Carmeliet J.: Coupled CFD and building energy simulations for studying the impacts of building height topology and buoyancy on local urban microclimates. Urban Climate 21 (2017), 278–305.
  7. Allegrini J., Carmeliet J.: Simulations of local heat islands in Zürich with coupled CFD and building energy models. Urban Climate 24 (2018), 340–359.
  8. Wind loading on high-rise buildings and the comfort effects on the occupants. Sustainable Cities and Society 45 (2019), 378–394.
  9. Athamena K.: Microclimatic coupling to assess the impact of crossing urban form on outdoor thermal comfort in temperate oceanic climate. Urban Climate 42 (2022), 101093.
  10. ConnectomeExplorer: Query-guided visual analysis of large volumetric neuroscience data. IEEE Trans. on Visualization and Computer Graphics 19, 12 (2013), 2868–2877.
  11. Batty M.: Digital twins. Environment and Planning B: Urban Analytics and City Science 45, 5 (2018), 817–820.
  12. Burigat S., Chittaro L.: Navigation in 3D virtual environments: Effects of user experience and location-pointing navigation aids. International Journal of Human-Computer Studies 65, 11 (2007), 945–958.
  13. Biljecki F., Chow Y. S.: Global Building Morphology Indicators. Computers, Environment and Urban Systems 95 (2022), 101809.
  14. CupCarbon: A new platform for the design, simulation and 2D/3D visualization of radio propagation and interferences in IoT networks. In 2018 IEEE Annual Consumer Communications and Networking Conf. (Las Vegas, USA, 2018), CCNC ’18, pp. 1–4.
  15. Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes. Building and Environment 237 (2023), 110295.
  16. Multi-focused geospatial analysis using probes. IEEE Trans. on Visualization and Computer Graphics 14, 6 (2008), 1165–1172.
  17. Bartosh A., Gu R.: Immersive representation of urban data. In Proc. of the 2019 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2019), SimAUD ’19, pp. 1–4.
  18. Bronzaft A. L., Hagler L.: Noise: The invisible pollutant that cannot be ignored. In Emerging Environmental Technologies, vol. 2. Springer Netherlands, 2010, pp. 75–96.
  19. Biljecki F., Ito K.: Street view imagery in urban analytics and GIS: A review. Landscape and Urban Planning 215 (2021), 104217.
  20. The third dimension in noise visualization – a design of new methods for continuous phenomenon visualization. The Cartographic Journal 59, 1 (2022), 1–17.
  21. Bonczak B., Kontokosta C.: Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data. Computers, Environment and Urban Systems 73 (2019), 126–142.
  22. Submerse: Visualizing storm surge flooding simulations in immersive display ecologies. IEEE Trans. on Visualization and Computer Graphics (2023), 1–13.
  23. The variants of an LOD of a 3D building model and their influence on spatial analyses. ISPRS Journal of Photogrammetry and Remote Sensing 116 (2016), 42–54.
  24. Brehmer M., Munzner T.: A multi-level typology of abstract visualization tasks. IEEE Trans. on Visualization and Computer Graphics 19, 12 (2013), 2376–2385.
  25. A new multi-scale 3D-GIS-approach for the assessment and dissemination of solar income of digital city models. Computers, Environment and Urban Systems 57 (2016), 144–154.
  26. Boeing G.: The right tools for the job: The case for spatial science tool-building. Trans. in GIS 24, 5 (2020), 1299–1314.
  27. How data workers cope with uncertainty: A task characterisation study. In Proc. of the 2017 CHI Conf. on Human Factors in Computing Systems (Denver, Colorado, USA, 2017), CHI ’17, Association for Computing Machinery, pp. 3645––3656.
  28. 3D urban data to assess local urban regulation influence. Computers, Environment and Urban Systems 68 (2018), 37–52.
  29. Spatio-temporal analysis of the relationship between 2D/3D urban site characteristics and land surface temperature. Remote Sensing of Environment 193 (2017), 225–243.
  30. Battle L., Scheidegger C.: A structured review of data management technology for interactive visualization and analysis. IEEE Trans. on Visualization and Computer Graphics 27, 2 (2021), 1128–1138.
  31. A visualization-based analysis system for urban search & rescue mission planning support. Computer Graphics Forum 36, 6 (2017), 148–159.
  32. Digital twin technology challenges and applications: A comprehensive review. Remote Sensing 14, 6 (2022).
  33. Bronzaft A., Van Ryzin G.: Neighborhood noise and its consequences. Survey Research Unit, School of Public Affairs, Baruch College, New York 2 (2007).
  34. Interactive visualization of flood and heavy rain simulations. Computer Graphics Forum 38, 3 (2019), 25–39.
  35. Clarinval A., Dumas B.: Intra-city traffic data visualization: a systematic literature review. IEEE Trans. on Intelligent Transportation Systems 23, 7 (2021), 6298–6315.
  36. GIS modeling of solar neighborhood potential at a fine spatiotemporal resolution. Buildings 4, 2 (2014), 195–206.
  37. Chun B., Guhathakurta S.: Daytime and nighttime urban heat islands statistical models for Atlanta. Environment and Planning B: Urban Analytics and City Science 44, 2 (2017), 308–327.
  38. Charitonidou M.: Urban scale digital twins in data-driven society: Challenging digital universalism in urban planning decision-making. International Journal of Architectural Computing 20, 2 (2022), 238–253.
  39. Visualization of object-centered vulnerability to possible flood hazards. Computer Graphics Forum 34, 3 (2015), 331–340.
  40. 3D monitoring and modelling of air quality for sustainable urban port planning: Review and perspectives. Journal of Cleaner Production 231 (2019), 1342–1352.
  41. UrbanRama: Navigating cities in virtual reality. IEEE Trans. on Visualization and Computer Graphics 28, 12 (2022), 4685–4699.
  42. Immersive urban analytics through exploded views. In Workshop on Immersive Analytics (2017).
  43. Extending solar potential analysis in buildings to vertical facades. Computers & Geosciences 66 (2014), 1–12.
  44. Cabral A., Waldo J.: Designing large-scale wireless sensor networks for urban environmental sensing. In Adjunct Proc. of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (2023), UbiComp/ISWC ’23 Adjunct, Association for Computing Machinery, p. 253–257.
  45. Legible Cities: Focus-dependent multi-resolution visualization of urban relationships. IEEE Trans. on Visualization and Computer Graphics 13, 6 (2007), 1169–1175.
  46. Exploring the design space of immersive urban analytics. Visual Informatics 1, 2 (2017), 132–142.
  47. The application of geometric network models and building information models in geospatial environments for fire-fighting simulations. Computers, Environment and Urban Systems 45 (2014), 1–12.
  48. Using topological analysis to support event-guided exploration in urban data. IEEE Trans. on Visualization and Computer Graphics 20, 12 (2014), 2634–2643.
  49. Transition from 2D to 3D real property cadastre: The case of the Slovenian cadastre. Computers, Environment and Urban Systems 62 (2017), 125–135.
  50. Topology-based catalogue exploration framework for identifying view-enhanced tower designs. ACM Trans. on Graphics 34, 6 (2015), 1–13.
  51. Spatio-temporal urban data analysis: A visual analytics perspective. IEEE Computer Graphics and Applications 38, 5 (2018), 26–35.
  52. Ten years of visualization of business process models: A systematic literature review. Computer Standards & Interfaces 66 (2019), 103347.
  53. Look-from camera control for 3D terrain maps. In Proc. of the 2019 CHI Conf. on Human Factors in Computing Systems (New York, NY, USA, 2019), CHI ’19, Association for Computing Machinery, p. 1–12.
  54. De Luca F.: Sun and wind: Integrated environmental performance analysis for building and pedestrian comfort. In Proc. of the 2019 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2019), SimAUD ’19, pp. 1–8.
  55. Solar potential in extreme climate conditions: comparative analysis of two district case studies in Norway and Reunion Island. In Proc. of the 2016 Symposium on Simulation for Architecture and Urban Design (London, UK, 2016), SimAUD ’16.
  56. De Luca F., Voll H.: Computational method for variable objectives and context aware solar envelopes generation. In Proc. of the 2017 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2017), SimAUD ’17, pp. 1–8.
  57. 2D and 3D presentation of spatial data: A systematic review. In 2014 IEEE VIS International Workshop on 3DVis (3DVis) (2014), pp. 11–18.
  58. Interactive visual exploration of spatio-temporal urban data sets using Urbane. In Proc. of the 2018 ACM Int. Conf. on Management of Data (Houston, USA, 2018), SIGMOD ’18, pp. 1693–1696.
  59. A continuous, semi-automated workflow: From 3D city models with geometric optimization and CFD simulations to visualization of wind in an urban environment. ISPRS International Journal of Geo-Information 9, 11 (2020), 657.
  60. Urban digital twins for smart cities and citizens: The case study of Herrenberg, Germany. Sustainability 12, 6 (2020), 2307.
  61. A survey of urban visual analytics: Advances and future directions. Computational Visual Media 9, 1 (2023), 3–39.
  62. Virtual reality and space syntax: Civic engagement and decision support for smart, sustainable cities. In Proc. of the 2019 Int. Space Syntax Conf. (Beijing, China, 2019), pp. 8–13.
  63. 3-D reconstruction of an urban landscape to assess the influence of vegetation in the radiative budget. Forests 10, 8 (2019), 700.
  64. Impact of road traffic noise annoyance on health-related quality of life: results from a population-based study. Quality of Life Research 19, 1 (2010), 37–46.
  65. Interactive urban context-aware visualization via multiple disocclusion operators. IEEE Trans. on Visualization and Computer Graphics 22, 7 (2016), 1862–1874.
  66. Elmqvist N., Fekete J.-D.: Hierarchical aggregation for information visualization: Overview, techniques, and design guidelines. IEEE Trans. on Visualization and Computer Graphics 16, 3 (2010), 439–454.
  67. Variations in wind load on tall buildings due to urban development. Sustainable Cities and Society 34 (2017), 264–277.
  68. Elsayed D. S. I.: The microclimatic impacts of urban spaces on the behaviour of pandemics between propagation and containment: Case study historic Cairo. Urban Climate 36 (2021), 100773.
  69. Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of The Total Environment 577 (2017), 349–359.
  70. An immersive visualization system for virtual 3D city models. In Proc. of the 2012 IEEE Int. Conf. on Geoinformatics (Hong Kong, China, 2012), pp. 1–7.
  71. Elmqvist N., Tsigas P.: A taxonomy of 3D occlusion management for visualization. IEEE Trans. on Visualization and Computer Graphics 14, 5 (2008), 1095–1109.
  72. Tour generation for exploration of 3D virtual environments. In Proc. of the 2007 ACM Symposium on Virtual Reality Software and Technology (Newport Beach, California, 2007), VRST ’07, Association for Computing Machinery, pp. 207––210.
  73. Infectious dynamics in urban 3D-environment: Challenges and possibilities. In Proc. of the 2020 CEUR Workshop (2020).
  74. The future of urban accessibility for people with disabilities: Data collection, analytics, policy, and tools. In Proc. of the 24th Int. ACM SIGACCESS Conf. on Computers and Accessibility (Athens, Greece, 2022), ASSETS ’22, Association for Computing Machinery.
  75. Fuchs R., Hauser H.: Visualization of multi-variate scientific data. Computer Graphics Forum 28, 6 (2009), 1670–1690.
  76. Urbane: A 3D framework to support data driven decision making in urban development. In Proc. of the 2015 IEEE Conf. on Visual Analytics Science and Technology (Chicago, USA, 2015), VAST ’15, pp. 97–104.
  77. Designing and assessing solar energy neighborhoods from visual impact. Sustainable Cities and Society 71 (2021), 102959.
  78. A survey of visual analytics in urban area. Expert Systems 39, 9 (2022), e13065.
  79. Assessment of the effectiveness of photovoltaic panels at public transport stops: 3D spatial analysis as a tool to strengthen decision making. Energies 15, 3 (2022).
  80. Co-visualization of air temperature and urban data for visual exploration. In Proc. of the 2020 IEEE Visualization Conf. (Salt Lake City, USA, 2020), VIS ’20, pp. 71–75.
  81. Cool materials impact at district scale—coupling building energy and microclimate models. Sustainable Cities and Society 13 (2014), 254–266.
  82. The impact of the physical and urban environment on mental well-being. Public Health 120, 12 (2006), 1117–1126.
  83. Visualizing 3D climate data in urban 3D models. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences XLIII-B4-2020 (2020), 781–789.
  84. Gallagher J., Lago C.: How parked cars affect pollutant dispersion at street level in an urban street canyon? a CFD modelling exercise assessing geometrical detailing and pollutant decay rates. Science of The Total Environment 651 (2019), 2410–2418.
  85. Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate. Theoretical and Applied Climatology 95, 1-2 (2009), 111–123.
  86. Unravelling the human perspective and considerations for urban data visualization. In Proc. of the 2021 IEEE 14th Pacific Visualization Symposium (Tianjin, China, 2021), PacificVis ’21, pp. 126–130.
  87. Mining graphs for understanding time-varying volumetric data. IEEE Trans. on Visualization and Computer Graphics 22, 1 (2016), 965–974.
  88. Herbert G., Chen X.: A comparison of usefulness of 2D and 3D representations of urban planning. Cartography and Geographic Information Science 42, 1 (2015), 22–32.
  89. Ten questions on urban building energy modeling. Building and Environment 168 (2020), 106508.
  90. Hagedorn B., Döllner J.: Sketch-based navigation in 3D virtual environments. In Smart Graphics (Berlin, Heidelberg, 2008), Butz A., Fisher B., Krüger A., Olivier P., Christie M., (Eds.), Springer Berlin Heidelberg, pp. 239–246.
  91. Acute effects of night-time noise exposure on blood pressure in populations living near airports. European Heart Journal 29, 5 (2008), 658–664.
  92. Evaluation of microclimate mitigation strategies in a heterogenous street canyon in Kuala Lumpur from outdoor thermal comfort perspective using Envi-met. Urban Climate 52 (2023), 101719.
  93. Hankey S., Marshall J. D.: Urban form, air pollution, and health. Current environmental health reports 4 (2017), 491–503.
  94. Hadavi M., Pasdarshahri H.: Quantifying impacts of wind speed and urban neighborhood layout on the infiltration rate of residential buildings. Sustainable Cities and Society 53 (2020), 101887.
  95. Hadavi M., Pasdarshahri H.: Impacts of urban buildings on microclimate and cooling systems efficiency: Coupled CFD and BES simulations. Sustainable Cities and Society 67 (2021), 102740.
  96. Environmental noise pollution in the united states: Developing an effective public health response. Environmental Health Perspectives 122, 2 (2014), 115–119.
  97. Hullman J.: Why authors don’t visualize uncertainty. IEEE Trans. on Visualization and Computer Graphics 26, 1 (2020), 130–139.
  98. Haklay M., Weber P.: OpenStreetMap: User-generated street maps. IEEE Pervasive Computing 7, 4 (2008), 12–18.
  99. Hu L., Wendel J.: Analysis of urban surface morphologic effects on diurnal thermal directional anisotropy. ISPRS Journal of Photogrammetry and Remote Sensing 148 (2019), 1–12.
  100. Huang X., Wang Y.: Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China. ISPRS Journal of Photogrammetry and Remote Sensing 152 (2019), 119–131.
  101. Constrained optimization for disoccluding geographic landmarks in 3D urban maps. In Proc. of the 2013 IEEE Pacific Visualization Symposium (Sydney, Australia, 2013), PacificVis ’13, pp. 17–24.
  102. Focus+context route zooming and information overlay in 3D urban environments. IEEE Trans. on Visualization and Computer Graphics 15, 6 (2009), 1547–1554.
  103. Sensitivity analysis of WRF-CFD-based downscaling methods for evaluation of urban pedestrian-level wind. Urban Climate 49 (2023), 101569.
  104. Towards semantic segmentation of urban-scale 3d point clouds: A dataset, benchmarks and challenges. In Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (2021).
  105. SensatUrban: Learning semantics from urban-scale photogrammetric point clouds. International Journal of Computer Vision 130, 2 (2022), 316–343.
  106. Effects of roadside trees three-dimensional morphology characteristics on traffic-related PM2.5 distribution in hot-humid urban blocks. Urban Climate 49 (2023), 101448.
  107. Jang G., Kim S.: Are decline-oriented strategies thermally sustainable in shrinking cities? Urban Climate 39 (2021), 100924.
  108. Digital twin enabled sustainable urban road planning. Sustainable Cities and Society 78 (2022), 103645.
  109. Javanroodi K., Nik V. M.: Interactions between extreme climate and urban morphology: Investigating the evolution of extreme wind speeds from mesoscale to microscale. Urban Climate 31 (2020), 100544.
  110. Urban building energy modeling: State of the art and future prospects. Renewable and Sustainable Energy Reviews 128 (2020), 109902.
  111. A geometric and semantic evaluation of 3D data sourcing methods for land and property information. Land Use Policy 36 (2014), 219–230.
  112. Using ArcGIS geostatistical analyst, vol. 380. Esri Redlands, 2001.
  113. Johansson E., Yahia M. W.: Wind comfort and solar access in a coastal development in malmö, Sweden. Urban Climate 33 (2020), 100645.
  114. Compact or cool? The impact of brownfield redevelopment on inner-city micro climate. Sustainable Cities and Society 38 (2018), 31–41.
  115. Fast wind prediction incorporated in urban city planning. International Journal of Architectural Computing 20, 3 (2022), 511–527.
  116. Koziatek O., Dragićević S.: iCity 3D: A geosimualtion method and tool for three-dimensional modeling of vertical urban development. Landscape and Urban Planning 167 (2017), 356–367.
  117. Koziatek O., Dragićević S.: A local and regional spatial index for measuring three-dimensional urban compactness growth. Environment and Planning B: Urban Analytics and City Science 46, 1 (2019), 143–164.
  118. Kolbe T., Donaubauer A.: Semantic 3D city modeling and BIM. In Urban Informatics. Springer Singapore, 2021, pp. 609–636.
  119. Recent advances and challenges in uncertainty visualization: a survey. Journal of Visualization 24, 5 (2021), 861–890.
  120. kepler.gl. https://kepler.gl. Accessed: May 25, 2023.
  121. Immersive analytics with abstract 3D visualizations: A survey. Computer Graphics Forum 41, 1 (2022), 201–229.
  122. Krietemeyer B., Kontar R.: A method for integrating an UBEM with GIS for spatiotemporal visualization and analysis. In Proc. of the 2019 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2019), SimAUD ’19.
  123. The effect of urban morphology on heat accumulation in urban street canyons and mitigation approach. Sustainable Cities and Society 73 (2021), 103127.
  124. A software tool development study for solar energy potential analysis. Energy and Buildings 162 (2018), 134–143.
  125. Kaya H. S., Mutlu H.: Modelling 3D spatial enclosure of urban open spaces. Journal of Urban Design 22, 1 (2017), 96–115.
  126. Improving accuracy in simulation of urban wind flows by dynamic downscaling WRF with OpenFOAM. Urban Climate 38 (2021), 100912.
  127. Run watchers: Automatic simulation-based decision support in flood management. IEEE Trans. on Visualization and Computer Graphics 20, 12 (2014), 1873–1882.
  128. A convergence research perspective on graduate education for sustainable urban systems science. npj Urban Sustainability 1, 39 (2021).
  129. Smart city construction and management by digital twins and BIM big data in COVID-19 scenario. ACM Trans. on Multimedia Computing, Communications, and Applications 18, 2s (2022), 1–21.
  130. Lorenz H., Döllner J.: 3D feature surface properties and their application in geovisualization. Computers, Environment and Urban Systems 34, 6 (2010), 476–483.
  131. A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D–2D surface mapping. International Journal of Geographical Information Science 28, 4 (2014), 780–798.
  132. Liu Z., Heer J.: The effects of interactive latency on exploratory visual analysis. IEEE Trans. on Visualization and Computer Graphics 20, 12 (2014), 2122–2131.
  133. Lindberg F.: Towards the use of local governmental 3-D data within urban climatology studies. Mapping and Image Science 2 (2005), 32–37.
  134. 3D user interfaces: theory and practice. Pearson, 2017.
  135. Assessment of traffic-related noise in three cities in the united states. Environmental Research 132 (2014), 182–189.
  136. Challenges of urban digital twins: A systematic review and a Delphi expert survey. Automation in Construction 147 (2023), 104716.
  137. SEEVis: A smart emergency evacuation plan visualization system with data-driven shot designs. Computer Graphics Forum 39, 3 (2020), 523–535.
  138. XEarth: A 3D GIS platform for managing massive city information. In Proc. of the 2015 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (Shenzhen, China, 2015), CIVEMSA ’15, pp. 1–6.
  139. IF-City: Intelligible fair city planning to measure, explain and mitigate inequality. IEEE Trans. on Visualization and Computer Graphics (2023), 1–18.
  140. A 3D spatial data model of the solar rights associated with individual residential properties. Computers, Environment and Urban Systems 74 (2019), 88–99.
  141. Managing big city information based on WebVRGIS. IEEE Access 4 (2016), 407–415.
  142. Llaguno-Munitxa M., Bou-Zeid E.: Shaping buildings to promote street ventilation: A large-eddy simulation study. Urban Climate 26 (2018), 76–94.
  143. CFD modeling of traffic tidal flow: Assessment of pollutant dispersion. Urban Climate 47 (2023), 101380.
  144. Leidi M., Schlüter A.: Exploring urban space: Volumetric site analysis for conceptual design in the urban context. International Journal of Architectural Computing 11, 2 (2013), 157–182.
  145. Spatial-temporal patterns of self-organization: A dynamic 4D model for redeveloping the post-zoning city. Environment and Planning B: Urban Analytics and City Science 49, 3 (2022), 1005–1023.
  146. Assessing and benchmarking 3D city models. International Journal of Geographical Information Science 37 (2023), 788–809.
  147. Developing a city-level digital twin –propositions and a case study. In Int. Conf. on Smart Infrastructure and Construction 2019 (ICSIC) (2019), pp. 187–194.
  148. Li H., Xie H.: Noise exposure of the residential areas close to urban expressways in a high-rise mountainous city. Environment and Planning B: Urban Analytics and City Science 48, 6 (2021), 1414–1429.
  149. TPFlow: Progressive partition and multidimensional pattern extraction for large-scale spatio-temporal data analysis. IEEE Trans. on Visualization and Computer Graphics 25, 1 (2019), 1–11.
  150. A room with a view: Automatic assessment of window views for high-rise high-density areas using city information models and deep transfer learning. Landscape and Urban Planning 226 (2022), 104505.
  151. Visualization in astrophysics: Developing new methods, discovering our universe, and educating the earth. Computer Graphics Forum 40, 3 (2021), 635–663.
  152. Towards human-centric digital twins: Leveraging computer vision and graph models to predict outdoor comfort. Sustainable Cities and Society 93 (2023), 104480.
  153. Urban Pulse: Capturing the rhythm of cities. IEEE Trans. on Visualization and Computer Graphics 23, 1 (2017), 791–800.
  154. Shadow Accrual Maps: Efficient accumulation of city-scale shadows over time. IEEE Trans. on Visualization and Computer Graphics 25, 3 (2019), 1559–1574.
  155. A comparison of spatiotemporal visualizations for 3D urban analytics. IEEE Trans. on Visualization and Computer Graphics 29, 1 (2023), 1277–1287.
  156. Megahed N. A., Ghoneim E. M.: Antivirus-built environment: Lessons learned from Covid-19 pandemic. Sustainable Cities and Society 61 (2020), 102350.
  157. The Urban Toolkit: A grammar-based framework for urban visual analytics. IEEE Trans. on Visualization and Computer Graphics (2024).
  158. Urban surface temperature observations from ground-based thermography: intra- and inter-facet variability. Urban Climate 35 (2021), 100748.
  159. Computational urban design prototyping: Interactive planning synthesis methods—a case study in cape town. International Journal of Architectural Computing 16, 3 (2018), 212–226.
  160. Real-time solar exposure simulation in complex cities: Real-time solar exposure simulation in complex cities. Computer Graphics Forum 36, 8 (2017), 554–566.
  161. Conditional generative adversarial networks for pedestrian wind flow approximation. In Proc. of the 2020 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2020), SimAUD ’20, pp. 1–8.
  162. Impact of shade on outdoor thermal comfort—a seasonal field study in Tempe, Arizona. International Journal of Biometeorology 60, 12 (2016), 1849–1861.
  163. A GIS-statistical approach for assessing built environment energy use at urban scale. Sustainable Cities and Society 37 (2018), 70–84.
  164. Munzner T.: Process and pitfalls in writing information visualization research papers. In Information Visualization: Human-Centered Issues and Perspectives. Springer Berlin Heidelberg, 2008, pp. 134–153.
  165. Munzner T.: Visualization analysis and design. A.K. Peters visualization series. CRC Press, 2015.
  166. An extensible, modular architecture for simulating urban development, transportation, and environmental impacts. Computers, Environment and Urban Systems 27, 2 (2003), 181–203.
  167. 3D viewpoint management and navigation in urban planning: Application to the exploratory phase. Remote Sensing 11, 3 (2019), 236.
  168. Numerical modeling of outdoor thermal comfort in 3D. Urban Climate 26 (2018), 212–230.
  169. The influence of data quality on urban heating demand modeling using 3D city models. Computers, Environment and Urban Systems 64 (2017), 68–80.
  170. Ouria M., Sevinc H.: Evaluation of the potential of solar energy utilization in Famagusta, Cyprus. Sustainable Cities and Society 37 (2018), 189–202.
  171. Visual analytics and rendering for tunnel crack analysis. The Visual Computer 32, 6-8 (2016), 859–869.
  172. Vis-A-Ware: Integrating spatial and non-spatial visualization for visibility-aware urban planning. IEEE Trans. on Visualization and Computer Graphics 23, 2 (2017), 1139–1151.
  173. Analysis of temperature variability within outdoor urban spaces at multiple scales. Urban Climate 27 (2019), 90–104.
  174. A state-of-the-art survey of tasks for tree design and evaluation with a curated task dataset. IEEE Trans. on Visualization and Computer Graphics 28, 10 (2021), 3563–3584.
  175. 3D city models for urban farming site identification in buildings. Computers, Environment and Urban Systems 86 (2021), 101584.
  176. Cerebrovis: Designing an abstract yet spatially contextualized cerebral artery network visualization. IEEE Trans. on Visualization and Computer Graphics 26, 1 (2020), 938–948.
  177. Multi-perspective detail+overview visualization for 3D building exploration. Theory and Practice of Computer Graphics (2013).
  178. Urban fusion: Visualizing urban data fused with social feeds via a game engine. In Proc. of the 2017 21st International Conference Information Visualisation (2017), IV’17, pp. 312–317.
  179. QGIS. https://qgis.org. Accessed: May 25, 2023.
  180. Sustainable urban systems: Articulating a long-term convergence research agenda. A Report by the Advisory Committee for Environmental Research and Education (2018).
  181. An environmental exploration system for visual scenario analysis of regional hydro-meteorological systems. Computers & Graphics 103 (2022), 192–200.
  182. Reinhard K.: Urban design synthesis for building layouts based on evolutionary many-criteria optimization. International Journal of Architectural Computing 13, 3-4 (2015), 257–269.
  183. 3D analysis and investigation of traffic noise impact from Hemmat highway located in Tehran on buildings and surrounding areas. Journal of Geographic Information System 4 (2012).
  184. Coupling hydrological and microclimate models to simulate evapotranspiration from urban green areas and air temperature at the district scale. Urban Climate 44 (2022), 101179.
  185. Resch B., Szell M.: Human-centric data science for urban studies. ISPRS International Journal of Geo-Information 8, 12 (2019), 584.
  186. 3D city models as a visual support tool for the analysis of buildings seismic vulnerability: The case of Lisbon. International Journal of Disaster Risk Science 8, 3 (2017), 308–325.
  187. Visual analysis and steering of flooding simulations. IEEE Trans. on Visualization and Computer Graphics 19, 6 (2013), 1062–1075.
  188. Shareef S., Abu-Hijleh B.: The effect of building height diversity on outdoor microclimate conditions in hot climate. a case study of Dubai-UAE. Urban Climate 32 (2020), 100611.
  189. Visualization of 3D property data and assessment of the impact of rendering attributes. Journal of Geovisualization and Spatial Analysis 4, 2 (2020).
  190. Investigation of passive design strategies in a traditional urban neighborhood: A case study. Urban Climate 26 (2018), 31–50.
  191. An integrated 3D GIS-based method for estimating the urban potential of BIPV retrofit of façades. Sustainable Cities and Society 62 (2020), 102410.
  192. Sun Y., Dogan T.: Generative methods for urban design and rapid solution space exploration. Environment and Planning B: Urban Analytics and City Science 50, 6 (2023), 1577–1590.
  193. Wind power potential assessment of roof mounted wind turbines in cities. Sustainable Cities and Society 53 (2020), 101905.
  194. Schrotter G., Hürzeler C.: The digital twin of the city of Zurich for urban planning. Journal of Photogrammetry, Remote Sensing and Geoinformation Science 88, 1 (2020), 99–112.
  195. Ślusarski M., Jurkiewicz M.: Visualisation of spatial data uncertainty. A case study of a database of topographic objects. ISPRS International Journal of Geo-Information 9, 1 (2019), 16.
  196. Visualization requirements for 3D cadastral systems. Computers, Environment and Urban Systems 41 (2013), 39–54.
  197. 3D noise mapping in urban areas. International Journal of Geographical Information Science 22, 8 (2008), 907–924.
  198. Shi Y., Li X.: Evaluating the influence of three simplifications on natural ventilation rate simulation. In Proc. of the 2019 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2019), SimAUD ’19, pp. 1–4.
  199. Visual impact assessment of urban developments around heritage landmarks using ULVIA method: (the case of Ark-e-Alishah monument in Tabriz). Environment and Planning B: Urban Analytics and City Science 50, 3 (2023), 678–693.
  200. A taxonomy of integration techniques for spatial and non-spatial visualizations. In Vision, Modeling & Visualization (2015), The Eurographics Association.
  201. Design and development of a 3d digital cadastre visualization prototype. ISPRS International Journal of Geo-Information 7, 10 (2018).
  202. A comparative study of methods for the visualization of probability distributions of geographical data. Multimodal Technologies and Interaction 6, 7 (2022), 53.
  203. Connecting the city: A three-dimensional pedestrian network of Hong Kong. Environment and Planning B: Urban Analytics and City Science 48, 1 (2021), 60–75.
  204. Development of view potential metrics and the financial impact of views on office rents. Landscape and Urban Planning 215 (2021), 104193.
  205. Dynamic modeling for noise mapping in urban areas. Environmental Impact Assessment Review 97 (2022), 106864.
  206. The effect of urban 2D and 3D morphology on air temperature in residential neighborhoods. Landscape Ecology 34, 5 (2019), 1161–1178.
  207. Wavelet-based visualization of time-varying data on graphs. In Proc. of the 2015 IEEE Conf. on Visual Analytics Science and Technology (Chicago, USA, 2015), VAST ’15, pp. 1–8.
  208. Inverse design of urban procedural models. ACM Trans. on Graphics 31, 6 (2012), 1–11.
  209. Near real-time semantic view analysis of 3D city models in web browser. ISPRS International Journal of Geo-Information 10, 3 (2021), 138.
  210. Combining 2D and 3D visualization with visual analytics in the environmental domain. Information 13, 1 (2021).
  211. Wang Y.: Deck.gl: Large-scale web-based visual analytics made easy. In The IEEE Workshop on Visualization in Practice (2017).
  212. Approximating urban wind interference. In Proc. of the 2014 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2014), SimAUD ’14, pp. 1–8.
  213. How to generate a thousand master plans: A framework for computational urban design. In Proc. of the 2019 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2019), SimAUD ’19, pp. 1–8.
  214. Data acquisition for urban building energy modeling: A review. Building and Environment 217 (2022), 109056.
  215. A virtual globe-based 3D visualization and interactive framework for public participation in urban planning processes. Computers, Environment and Urban Systems 34, 4 (2010), 291–298.
  216. Flood risk management in sponge cities: The role of integrated simulation and 3D visualization. International Journal of Disaster Risk Reduction 39 (2019), 101139.
  217. An integrated multiscale urban microclimate model for the urban thermal environment. Urban Climate 35 (2021), 100730.
  218. Many plans: Multidimensional ensembles for visual decision support in flood management: Many plans. Computer Graphics Forum 33, 3 (2014), 281–290.
  219. Wolosiuk D., Mahdavi A.: Application of ontologically structured data for building performance analysis. In Proc. of the 2020 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2020), SimAUD ’20, pp. 1–6.
  220. Wu M.-L., Popescu V.: Multiperspective focus+context visualization. IEEE Trans. on Visualization and Computer Graphics 22, 5 (2016), 1555–1567.
  221. How users perceive transparency in the 3D visualization of cadastre: testing its usability in an online questionnaire. GeoInformatica 21, 3 (2017), 599–618.
  222. Applications of 3D city models for a better understanding of the built environment. Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies (2018), 167–191.
  223. Three-dimensional visualisation of traffic noise based on the Henk de-Klujijver model. Noise Mapping 10, 1 (2023), 20220170.
  224. A fast calculation tool for assessing the shading effect of surrounding buildings on window transmitted solar radiation energy. Sustainable Cities and Society 81 (2022), 103834.
  225. Modelling impact of high-rise, high-density built environment on COVID-19 risks: Empirical results from a case study of two Chinese cities. International Journal of Environmental Research and Public Health 20, 2 (2023), 1422.
  226. Building seismic response and visualization using 3D urban polygonal modeling. Automation in Construction 55 (2015), 25–34.
  227. Mitigating intensity of urban heat island by better understanding on urban morphology and anthropogenic heat dispersion. Building and Environment 176 (2020), 106876.
  228. Distortion visualization techniques for 3D coherent sets: A case study of 3D building property units. Computers, Environment and Urban Systems 78 (2019), 101382.
  229. Free and open source urbanism: Software for urban planning practice. Computers, Environment and Urban Systems 96 (2022), 101825.
  230. The use of a virtual city model for assessing equity in access to views. Computers, Environment and Urban Systems 35, 6 (2011), 464–473.
  231. 3DCityDB - a 3D geodatabase solution for the management, analysis, and visualization of semantic 3D city models based on CityGML. Open Geospatial Data, Software and Standards 3, 1 (2018).
  232. View-based greenery: A three-dimensional assessment of city buildings’ green visibility using Floor Green View Index. Landscape and Urban Planning 152 (2016), 13–26.
  233. Zhang L., Chiaradia A.: Walking in the cities without ground, how 3D complex network volumetrics improve analysis. Environment and Planning B: Urban Analytics and City Science 49, 7 (2022), 1857–1874.
  234. Zhang J.: A study of the relationship between urban form and environmental performance for three urban block typologies in Paris. In Proc. of the 2013 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2013), SimAUD ’13, pp. 1–10.
  235. A CFD study of wind assessment in urban topology with complex wind flow. Sustainable Cities and Society 71 (2021), 103006.
  236. A case study on the relationship between urban morphology and traffic noise distribution in high-density urban context. In Proc. of the 2017 Symposium on Simulation for Architecture and Urban Design (San Diego, USA, 2017), SimAUD ’17, pp. 1–7.
  237. Walkability scoring: Why and how does a three-dimensional pedestrian network matter? Environment and Planning B: Urban Analytics and City Science 48, 8 (2021), 2418–2435.
  238. Visual analytics in urban computing: An overview. IEEE Trans. on Big Data 2, 3 (2016), 276–296.
  239. An economically feasible optimization of photovoltaic provision using real electricity demand: A case study in new york city. Sustainable Cities and Society 78 (2022), 103614.
  240. Feasibility assessment of solar photovoltaic deployments on building surfaces with the constraint of visual impacts. Environment and Planning B: Urban Analytics and City Science 50, 6 (2023), 1591–1606.
  241. The influence of roadside green belts and street canyon aspect ratios on air pollution dispersion and personal exposure. Urban Climate 44 (2022), 101236.
  242. Exploring the effects of 3D urban form on urban air quality: Evidence from fifteen megacities in China. Sustainable Cities and Society 78 (2022), 103649.
  243. Zeng W., Ye Y.: VitalVizor: A visual analytics system for studying urban vitality. IEEE Computer Graphics and Applications 38, 5 (2018), 38–53.
  244. Solar accessibility in developing cities: A case study in Kowloon East, Hong Kong. Sustainable Cities and Society 51 (2019), 101738.
  245. UrbanVR: An immersive analytics system for context-aware urban design. Computers & Graphics 99 (2021), 128–138.
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