3D geo-database research: Retrospective and future directions

Breunig, Martin; Zlatanova, Sisi

doi:10.1016/j.cageo.2010.04.016

Cited by 102 publications

(52 citation statements)

References 45 publications

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“…La aparición de entornos virtuales como Google Earth© y Visual Earth© han hecho que el intercambio y visualización de modelos 3D geo-referenciados se realice de forma muy natural, y a pesar de sus deficiencias el éxito de estas herramientas de visualización es mayor que el de los tradicionales visualizadores 3D, basados en VRML y X3D (Breunig y Zlatanova, 2011). Y en relación a la generación de modelos urbanos en 3Dd, cabe citar el lenguaje City Geography Markup Language (CityGML), desarrollado por el Open Geospatial Consortium (OGC) como un estándar de codificación y que quiere ser un formato universal, basado en XML, para almacenar, representar e intercambiar modelos virtuales 3D de entornos urbanos.…”

Section: De Las Tecnologías Tic 30 Al Geo-elearningunclassified

Enseñanza geolocalizada de los proyectos urbanos: nuevas estrategias educativas con ayuda de dispositivos móviles: un estudio de caso de investigación educativa

Redondo¹,

Riera²,

Fonseca³

et al. 2014

ACE: Architecture, City and Environment

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Section: De Las Tecnologías Tic 30 Al Geo-elearningunclassified

Enseñanza geolocalizada de los proyectos urbanos: nuevas estrategias educativas con ayuda de dispositivos móviles: un estudio de caso de investigación educativa

Redondo¹,

Riera²,

Fonseca³

et al. 2014

ACE: Architecture, City and Environment

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“…In reality, many man-made features such as a circular plaza, a dome building, a parabolic cooling tower in a power plant etc., are perfectly described with theoretical functions. But all current data models belong to discrete data models that are comprised of discrete entities like nodes and triangles, thereby lacking functional representation (Breunig and Zlatanova, 2011). Such a discrete data model can result in massive volumes of data on one hand, for instance, the file sizes of CityGML are much larger than those of Building Information Model (BIM) which has functional, parametric representations (Berlo and Laat, 2011).…”

Section: Introductionmentioning

confidence: 99%

A ubiquitous knowledgeable data representation model (UKRM) for three-dimensional geographic information systems (3D GIS)

Zhang

Zhou

Zhang

et al. 2016

Sci. China Earth Sci.

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In the face of complicated, diversified three-dimensional world, the existing 3D GIS data models suffer from certain issues such as data incompatibility, insufficiency in data representation and representation types, among others. It is often hard to meet the requirements of multiple application purposes (users) related to GIS spatial data management and data query and analysis, especially in the case of massive spatial objects. In this study, according to the habits of human thinking and recognition, discrete expressions (such as discrete curved surface (DCS), and discrete body (DB)) were integrated and two novel representation types (including function structure and mapping structure) were put forward. A flexible and extensible ubiquitous knowledgeable data representation model (UKRM) was then constructed, in which structurally heterogeneous multiple expressions (including boundary representation (B-rep), constructive solid geometry (CSG), functional/parameter representation, etc.) were normalized. GIS's ability in representing the massive, complicated and diversified 3D world was thus greatly enhanced. In addition, data reuse was realized, and the bridge linking static GIS to dynamic GIS was built up. Primary experimental results illustrated that UKRM was overwhelmingly superior to the current data models (e.g. IFC, CityGML) in describing both regular and irregular spatial objects.

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“…by the group of Peter van Oosterom (van Oosterom and Schenkelaars, 1995), Christine Parent, Stefano Spaccapietra, and Esteban Zimányi (Parent et al 1999;2006), (Chen and Zaniolo, 2000), during the Chorochronos project (Koubarakis et al, 2003;Breunig et al, 2003), Helmut Schäben (Schaeben et al, 2003), the groups of Sisi Zlatanova (Khuan et al, 2008;Breunig and Zlatanova, 2011;Xu and Zlatanova, 2013), Jantien Stoter (Stoter et al, 2011), Jacynthe Pouliot (Pouliot et al 2008;Zamyadi et al, 2014), Thomas Kolbe (Kolbe et al, 2008;Kolbe et al, 2011), Löwner and Becker (Löwner and Becker, 2013), Umit Isikdag (Isikdag, 2014), Alias Abdul Rahman (Duncan and Abdul Rahman, 2015;Azri et al, 2016) and by other authors.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Application of 3d Spatio-Temporal Data Modeling, Management, and Analysis in Db4geo

Kuper

Breunig

Al-Doori

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Many of today´s world wide challenges such as climate change, water supply and transport systems in cities or movements of crowds need spatio-temporal data to be examined in detail. Thus the number of examinations in 3D space dealing with geospatial objects moving in space and time or even changing their shapes in time will rapidly increase in the future. Prominent spatio-temporal applications are subsurface reservoir modeling, water supply after seawater desalination and the development of transport systems in mega cities. All of these applications generate large spatio-temporal data sets. However, the modeling, management and analysis of 3D geo-objects with changing shape and attributes in time still is a challenge for geospatial database architectures. In this article we describe the application of concepts for the modeling, management and analysis of 2.5D and 3D spatial plus 1D temporal objects implemented in DB4GeO, our service-oriented geospatial database architecture. An example application with spatio-temporal data of a landfill, near the city of Osnabrück in Germany demonstrates the usage of the concepts. Finally, an outlook on our future research focusing on new applications with big data analysis in three spatial plus one temporal dimension in the United Arab Emirates, especially the Dubai area, is given.

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3D geo-database research: Retrospective and future directions

Cited by 102 publications

References 45 publications

Enseñanza geolocalizada de los proyectos urbanos: nuevas estrategias educativas con ayuda de dispositivos móviles: un estudio de caso de investigación educativa

Enseñanza geolocalizada de los proyectos urbanos: nuevas estrategias educativas con ayuda de dispositivos móviles: un estudio de caso de investigación educativa

A ubiquitous knowledgeable data representation model (UKRM) for three-dimensional geographic information systems (3D GIS)

Application of 3d Spatio-Temporal Data Modeling, Management, and Analysis in Db4geo

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