Abstract:Modern 3D geovisualization systems (3DGeoVSs) are complex and evolving systems that are required to be adaptable and leverage distributed resources, including massive geodata. This article focuses on 3DGeoVSs built based on the principles of service-oriented architectures, standards and image-based representations (SSI) to address practically relevant challenges and potentials. Such systems facilitate resource sharing and agile and efficient system construction and change in an interoperable manner, while expl… Show more
“…The validity of our study has been supported by other case studies that focus on the design, development and analysis of user-centered, novel collaborative geovisualization tools [68][69][70]. Studies are consistent in that an easy-to-use graphical user interface, decision support based on spatial data and the integration of data into other platforms are essential for efficient geovisualization [69,70].…”
Section: Discussionsupporting
confidence: 71%
“…The validity of our study has been supported by other case studies that focus on the design, development and analysis of user-centered, novel collaborative geovisualization tools [68][69][70]. Studies are consistent in that an easy-to-use graphical user interface, decision support based on spatial data and the integration of data into other platforms are essential for efficient geovisualization [69,70]. However, it should be underlined that while innovative geovisualization web applications published on the basis of current trends are supported by a wide range of standards, development tools and frameworks, the inclusion of the latest IT technologies (Big Data, Cloud, Artificial Intelligence) offers an interesting research challenge.…”
The provision of webGIS-based water quality data services has become a priority area for both the public and administrative sectors in the context of the pandemic emergency associated with the global spread of COVID-19. Current geographic, monitoring and decision supporting systems, typically based on web-based geospatial information, greatly facilitate the sharing of spatial and temporal data from environmental databases and real-time analyses. In the present study, different water quality indices are determined, compared and geovisualized, during which the changes in the quality of the shallow groundwater resources of a settlement are examined in the period (2011–2019) in an eastern Hungarian settlement. Another objective of the research is to determine three water quality indices (Water Quality Index, CCME Water Quality Index, Contamination degree) and categorize water samples based on the same input spatial and temporal data using self-developed freely available geovisualization tools. Groundwater quality was assessed by using different water quality indices. Significant pollution of the groundwater in the time period before the installation of a sewage network was shown. Regarding water quality, significant positive changes were shown based on all three water quality indices in the years after installing a sewage network (2015–2019). The presence of pollution apart from the positive changes suggests that the purification processes will last for a long time.
“…The validity of our study has been supported by other case studies that focus on the design, development and analysis of user-centered, novel collaborative geovisualization tools [68][69][70]. Studies are consistent in that an easy-to-use graphical user interface, decision support based on spatial data and the integration of data into other platforms are essential for efficient geovisualization [69,70].…”
Section: Discussionsupporting
confidence: 71%
“…The validity of our study has been supported by other case studies that focus on the design, development and analysis of user-centered, novel collaborative geovisualization tools [68][69][70]. Studies are consistent in that an easy-to-use graphical user interface, decision support based on spatial data and the integration of data into other platforms are essential for efficient geovisualization [69,70]. However, it should be underlined that while innovative geovisualization web applications published on the basis of current trends are supported by a wide range of standards, development tools and frameworks, the inclusion of the latest IT technologies (Big Data, Cloud, Artificial Intelligence) offers an interesting research challenge.…”
The provision of webGIS-based water quality data services has become a priority area for both the public and administrative sectors in the context of the pandemic emergency associated with the global spread of COVID-19. Current geographic, monitoring and decision supporting systems, typically based on web-based geospatial information, greatly facilitate the sharing of spatial and temporal data from environmental databases and real-time analyses. In the present study, different water quality indices are determined, compared and geovisualized, during which the changes in the quality of the shallow groundwater resources of a settlement are examined in the period (2011–2019) in an eastern Hungarian settlement. Another objective of the research is to determine three water quality indices (Water Quality Index, CCME Water Quality Index, Contamination degree) and categorize water samples based on the same input spatial and temporal data using self-developed freely available geovisualization tools. Groundwater quality was assessed by using different water quality indices. Significant pollution of the groundwater in the time period before the installation of a sewage network was shown. Regarding water quality, significant positive changes were shown based on all three water quality indices in the years after installing a sewage network (2015–2019). The presence of pollution apart from the positive changes suggests that the purification processes will last for a long time.
“…These WebGIS technologies include not only commercial software programs but also free and open-source software programs, which provide flexibility for different users [36]. Lastly, recent advances in geovisualization provide new methods to visualize geospatial data in a three-dimensional (3D) environment [37]. Visualizing construction costs in a 3D environment holds the potential to identify many patterns that have been impossible in a traditional 2D environment.…”
The construction industry relies on construction cost indexes to prepare cost estimate benchmarks and develop cost estimates. Subsequently, government agencies, non-profit organizations, and private companies routinely publish construction cost indexes for cities. Currently, all construction cost indexes are released in a tabular format for 649 cities across the conterminous United States, which is not effective in illustrating construction cost variations at the national level. This study explored the utility of various established interpolation methods and mapping techniques to visualize construction cost indexes at the national level. Geovisualization techniques such as thematic mapping provide a visual representation of construction cost data in addition to traditional tabular formats. This study explored the utility of Thiessen polygon and inverse distance weighted (IDW) methods to create thematic maps which can be used to interactively visualize construction costs at the national level. A qualitative comparison revealed that the IDW method can produce the most intuitive, interactive, and continuous surface maps to identify dynamic and previously unrecognized patterns. These continuous surface maps allow construction practitioners and academics, real estate developers, and the public to locate the geographic proximity of high or low construction costs while cost change maps allow investors and businesses to identify patterns in changing construction costs over a certain period. This work contributes to the body of knowledge by introducing interpolated maps for visualizing any construction cost-related indexes at a large scale such as the national level.
“…These can be used without any restrictions by researchers to implement dedicated tools to study the numerous inter-linked dynamics that concur to shape our planet's ecology. The importance of visual representation of modelled dynamics is just as important as analyzing them, as discussed by [4,5].…”
Abstract:In this work we present preliminary results regarding a proof-of-concept project which aims to provide tools for mapping the amount of solar radiation reaching surfaces of objects, accounting for obstructions between objects themselves. The implementation uses the NASA World Wind development platform (NASA WW) to model the different physical phenomena that participate in the process, from the calculation of the Sun's position relative to the area that is being considered, to the interaction between atmosphere and solid obstructions, e.g., terrain or buildings. A more complete understanding of the distribution of energy from the Sun illuminating elements on the Earth's surface adds value to applications ranging from planning the renewable energy potential of an area to ecological analyses.
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