Spatial Adjacency Analysis of Citygml Buildings via 3d Topological Data Structure

Salleh, Syahiirah; Ujang, Uznir; Azri, Suhaibah; Choon, Tan Liat

doi:10.5194/isprs-archives-xlii-4-w16-573-2019

Cited by 10 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adoption of JSON encoding has reduced the size of CityJSON storage significantly [33] and with better interoperability capability [34]. However, both data models are limited in terms of entities relations descriptions or in other words adjacencies among objects [35]. For the application in the real world, CityGML possesses Application Domain Extension (ADE), to extend the core data model of CityGML to allow the addition of more application-specific attributes.…”

Section: D Data Modellingmentioning

confidence: 99%

“…3D GIS allows a more immersive visualization of any object in three dimensions granting a better understanding of a physical object. Management of building assets information, 3D modelling, spatial queries such as 3D nearest neighbor queries [44] and topological queries [35]. Besides that, precise visualization is also possible with the creation of 3D GIS [45].…”

Section: D Gis For Risk Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

A review on the GIS usage in spatio-temporal risk assessment in asset management

Syafiq,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Risk assessment for asset management is a process to analyse the potential risk that could affect the efficiency of operating assets. An effective risk assessment strategy depends on high-quality data and effective data analysis. To do so, risk assessment should take into consideration the spatial and temporal aspects of risks of physical assets in asset management for a data-driven decision-making. Failure to incorporate the spatial and temporal aspects in risk, when the risk possess spatio-temporal correlation, could lead to a defective estimation of assets risks. GIS can be used to analyse multidimensional information which includes 3D GIS, and spatio-temporal data (2D+t and 3D+t). Due to its superiority in handling multidimensional data, GIS is often a preferable tool to collect, manage, manipulate, and visualize spatio-temporal data to allow an accurate and informed analysis. The aim of this study is to uncover the use of GIS for risk assessment in asset management when spatial and temporal data are concerned. This study conduct a thorough review of previous research to look into the current development of asset management that utilizes a spatio-temporal approach for data collection, analysis, and 3D visualization for risk assessment. At the end of this study, we found that physical assets are affected by risk that possess spatio-temporal correlation. Several GIS techniques for data collection, analysis and visualization are found to provide a more effective analysis for assessing spatio-temporal risks. This paper concludes by providing a workflow that can be used by asset managers to assess risk spatio-temporally based on the findings of this study.

show abstract

Section: D Data Modellingmentioning

confidence: 99%

Section: D Gis For Risk Assessmentmentioning

confidence: 99%

A review on the GIS usage in spatio-temporal risk assessment in asset management

Syafiq,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…By integrating 3D GIS and BIM, valuable data enrichment can be achieved from both platforms, leading to improved analysis results. This integration facilitates the utilization of techniques like nearest neighbors queries [16] and the incorporation of essential topological information [17], further enhancing the depth and accuracy of the analyses performed. Integration of 3D GIS and BIM allows for data enrichment from both platforms which can enhance the analysis result.…”

Section: Integration Of 3d Gis and Bim Potentially Elevate Predictive...mentioning

confidence: 99%

An overview of predictive maintenance in relation to 2D and 3D Geographical Information System (GIS) for built environment

Hairuddin,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Well-preserved buildings can be a great asset to the country, contributing to its economic growth. The lifespan of a building and its assets can be extended through proper maintenance. This will improve the longevity of its function, sustain its performance, and optimize maintenance costs. Predictive maintenance is a proactive approach to maintenance, as it is conducted based on the current operational state of equipment rather than average life statistics. It is generally implemented in building maintenance, machinery, and many other industries. While predictive maintenance has grown in application with artificial intelligence, digital twins, and machine learning, its application with geographical information systems (GIS) and 3D GIS have limitedly discussed. Geospatial predictive maintenance can be realized by integrating the asset's location with its maintenance semantic and temporal information. By incorporating geospatial thinking into the predictive framework, it can help optimize decision-making processes such as allocating maintenance costs based on calculating affected areas, visualizing the location of assets, understanding their interactions with meteorological events and virtual situations. Therefore, this paper will discuss a review of predictive maintenance in relation to GIS and 3D GIS.

show abstract

“…The models developed in [12,13] provide geometric information based on CityGML, and the topological relationships of indoor-adjacent spaces in this model are represented by CityGML XLinks. These XLinks form an explicit way of modeling connectivities which can conflict with possible underlying connectivities between polygons in the model.…”

Section: Related Workmentioning

confidence: 99%

Topological Access Methods for Spatial and Spatiotemporal Data

Jahn

Bradley

2022

IJGI

View full text Add to dashboard Cite

In order to perform topological queries on geographic data, it is necessary to first develop a topological access method (TOAM). Using the fact that any (incidence or other binary) relation produces a topology which includes the common usage of topology for spatial or spatiotemporal data, here, such a TOAM is developed on the basis of the previously applied concept of Property Graph used in order to manage topological information in data of any dimension, whether time dependent or not. As a matter of fact, it is necessary to have a TOAM in order to query such a graph, and also to have data which are topologically consistent in a certain sense. While the rendering of topological consistency was the concern of previous work, here, the aim is to develop a methodology which builds on this concept. In the end, an experimental test of this approach on a small city model is performed. It turned out that the Euler characteristic, a well-known topological invariant, can be helpful for the initial data validation. Practically, this present theoretical work is seen to be necessary in view of future innovative applications, e.g., in the context of city model simulations, including distributed geo-processing.

show abstract

Spatial Adjacency Analysis of Citygml Buildings via 3d Topological Data Structure

Cited by 10 publications

References 15 publications

A review on the GIS usage in spatio-temporal risk assessment in asset management

A review on the GIS usage in spatio-temporal risk assessment in asset management

An overview of predictive maintenance in relation to 2D and 3D Geographical Information System (GIS) for built environment

Topological Access Methods for Spatial and Spatiotemporal Data

Contact Info

Product

Resources

About