Extending Spatial Data Infrastructures 3D by Geoprocessing Functionality - 3D Simulations in Disaster Management and environmental Research

Walenciak, Georg; Stollberg, Beate; Neubauer, Steffen; Zipf, Alexander

doi:10.1109/geows.2009.16

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…Extending 2dimensional into 3-dimensional SDI initiatives are well discussed in Berlin-3D and Heidelberg-3D (Basanow et al 2008), which uses CityGML and common data sharing format. Few other examples that use semantics and geometries in analysis are shown in, (Walenciak et al 2009;Stollberg and Zipf 2007;Lanig and Zipf 2010). This chapter aims to discuss the methodology or workflow that involved in developing the decoder for the prebuilt schema aware encoder CitySAC (Siew and Abdul Rahman 2013) and how the web transaction could achieve interoperability while allowing binary data transaction within the web service using HTTP protocols.…”

Section: Background and Related Workmentioning

confidence: 99%

Geoinformation for Informed Decisions

Rahman¹,

Bogusławski²,

Anton³

et al. 2014

Lecture Notes in Geoinformation and Cartography

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Section: Background and Related Workmentioning

confidence: 99%

Geoinformation for Informed Decisions

Rahman¹,

Bogusławski²,

Anton³

et al. 2014

Lecture Notes in Geoinformation and Cartography

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“…Due to the strong expressive power of visual 3D city models, many real-world regions model 3D geometry and graphical characteristics, as well as spatial and semantic interrelationships as a semantic 3D city model. With the proliferation of 3D city model applications [1], such as urban planning [2], environmental simulations [3], navigation [4], disaster management [5], and energy assessment [6], significant research efforts have been devoted to efficiently and effectively managing and analysing 3D city models that carry rich semantic and spatial information. Among them, Spatial Database Management System (SDBMS) is a promising field to support data fusion and semantic explorations to get a better understanding of the built environment [7].…”

Section: Introductionmentioning

confidence: 99%

Towards Integrating Heterogeneous Data: A Spatial DBMS Solution from a CRC-LCL Project in Australia

Zlatanova

Diakité

et al. 2020

IJGI

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Over recent decades, more and more cities worldwide have created semantic 3D city models of their built environments based on standards across multiple domains. 3D city models, which are often employed for a large range of tasks, go far beyond pure visualization. Due to different spatial scale requirements for planning and managing various built environments, integration of Geographic Information Systems (GIS) and Building Information Modeling (BIM) has emerged in recent years. Focus is now shifting to Precinct Information Modeling (PIM) which is in a more general sense to built-environment modeling. As scales change so do options to perform information modeling for different applications. How to implement data interoperability across these digital representations, therefore, becomes an emerging challenge. Moreover, with the growth of multi-source heterogeneous data consisting of semantic and varying 2D/3D spatial representations, data management becomes feasible for facilitating the development and deployment of PIM applications. How to use heterogeneous data in an integrating manner to further express PIM is an open and comprehensive topic. In this paper, we develop a semantic PIM based on multi-source heterogeneous data. Then, we tackle spatial data management problems in a Spatial Database Management System (SDBMS) solution for our defined unified model. Case studies on the University of New South Wales (UNSW) campus demonstrate the efficiency of our solution.

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“…In the water resources domain, the possibility of migrating desktop-based algorithms to Web services have been tested (Dí az et al, 2007), not only for predicting flood areas (Auynirundronkool et al, 2012;Lanig et al, 2008;Müller et al, 2010;Walenciak et al, 2009), but also for water resources modeling in general (Feng et al, 2011). In the water resources domain, it is common to carry out time-consuming tasks for collecting, analyzing and processing large volumes of hydrological data through the use of traditional desktop GIS systems.…”

Section: Overview Of Information Technologies In the Water Domainmentioning

confidence: 99%

Web Mapping Architectures Based on Open Specifications and Free and Open Source Software in the Water Domain

Muñoz

Brovelli

Kilsedar

et al. 2017

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

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ABSTRACT:The availability of water-related data and information across different geographical and jurisdictional scales is of critical importance for the conservation and management of water resources in the 21 st century. Today information assets are often found fragmented across multiple agencies that use incompatible data formats and procedures for data collection, storage, maintenance, analysis, and distribution. The growing adoption of Web mapping systems in the water domain is reducing the gap between data availability and its practical use and accessibility. Nevertheless, more attention must be given to the design and development of these systems to achieve high levels of interoperability and usability while fulfilling different end user informational needs. This paper first presents a brief overview of technologies used in the water domain, and then presents three examples of Web mapping architectures based on free and open source software (FOSS) and the use of open specifications (OS) that address different users' needs for data sharing, visualization, manipulation, scenario simulations, and map production. The purpose of the paper is to illustrate how the latest developments in OS for geospatial and water-related data collection, storage, and sharing, combined with the use of mature FOSS projects facilitate the creation of sophisticated interoperable Web-based information systems in the water domain.

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Extending Spatial Data Infrastructures 3D by Geoprocessing Functionality - 3D Simulations in Disaster Management and environmental Research

Cited by 9 publications

References 5 publications

Geoinformation for Informed Decisions

Geoinformation for Informed Decisions

Towards Integrating Heterogeneous Data: A Spatial DBMS Solution from a CRC-LCL Project in Australia

Web Mapping Architectures Based on Open Specifications and Free and Open Source Software in the Water Domain

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