Multi-scale data sets in distributed environments

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

Externe Organisationen

  • Universität Stuttgart
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)1130-1137
Seitenumfang8
FachzeitschriftInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Jahrgang33
PublikationsstatusVeröffentlicht - 2000
Extern publiziertJa
Veranstaltung19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Niederlande
Dauer: 16 Juli 200023 Juli 2000

Abstract

Within the scope of the research project "NEXUS" that is being worked on at the University of Stuttgart in cooperation between the Institute for Photogrammetry, the Institute of Parallel and Distributed High-Performance Systems and the Insitute of Communication Networks and Computer Engineering, a generic platform supporting location aware applications with mobile users will be developed. The central component of the infrastructure consists of dynamic spatial models. Since huge amounts of data have to be handled by the platform, they have to be distributed on multiple servers. Furthermore, the spatial data have to be delivered in multiple representations in order to provide the adequate level of detail for each application. The spatially aware applications which are using the spatial models are available for the users on small handheld computers. These computers are amongst others equipped with sensors for positioning and components for mobile communication. Therefore, the applications know the position of the users within the spatial models - they are "location aware". Moreover, the users can receive spatial data from distributed model servers by means of wireless communication. Thus, they can not only move through the real but also through the virtual world. In order to support the users on their way, GIS functionality has to be provided: they have to be able to perform spatial queries on their environment and to navigate themselves through the virtual models and the real world, respectively. The paper will give an introduction to the general concepts of the project. It presents the approaches concerning multiple representations and describes the strategies for distributed data handling that will be applied within the platform, including some remarks on prototypical solutions.

ASJC Scopus Sachgebiete

Zitieren

Multi-scale data sets in distributed environments. / Volz, Steffen; Sester, Monika; Fritsch, Dieter et al.
in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 33, 2000, S. 1130-1137.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Volz, S, Sester, M, Fritsch, D & Leonhardi, A 2000, 'Multi-scale data sets in distributed environments', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jg. 33, S. 1130-1137.
Volz, S., Sester, M., Fritsch, D., & Leonhardi, A. (2000). Multi-scale data sets in distributed environments. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 33, 1130-1137.
Volz S, Sester M, Fritsch D, Leonhardi A. Multi-scale data sets in distributed environments. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2000;33:1130-1137.
Volz, Steffen ; Sester, Monika ; Fritsch, Dieter et al. / Multi-scale data sets in distributed environments. in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2000 ; Jahrgang 33. S. 1130-1137.
Download
@article{73d9debc59cb498692a3b3aedfc38fa1,
title = "Multi-scale data sets in distributed environments",
abstract = "Within the scope of the research project {"}NEXUS{"} that is being worked on at the University of Stuttgart in cooperation between the Institute for Photogrammetry, the Institute of Parallel and Distributed High-Performance Systems and the Insitute of Communication Networks and Computer Engineering, a generic platform supporting location aware applications with mobile users will be developed. The central component of the infrastructure consists of dynamic spatial models. Since huge amounts of data have to be handled by the platform, they have to be distributed on multiple servers. Furthermore, the spatial data have to be delivered in multiple representations in order to provide the adequate level of detail for each application. The spatially aware applications which are using the spatial models are available for the users on small handheld computers. These computers are amongst others equipped with sensors for positioning and components for mobile communication. Therefore, the applications know the position of the users within the spatial models - they are {"}location aware{"}. Moreover, the users can receive spatial data from distributed model servers by means of wireless communication. Thus, they can not only move through the real but also through the virtual world. In order to support the users on their way, GIS functionality has to be provided: they have to be able to perform spatial queries on their environment and to navigate themselves through the virtual models and the real world, respectively. The paper will give an introduction to the general concepts of the project. It presents the approaches concerning multiple representations and describes the strategies for distributed data handling that will be applied within the platform, including some remarks on prototypical solutions.",
keywords = "Distributed databases, Information infrastructure, Location awareness, Multiple representations",
author = "Steffen Volz and Monika Sester and Dieter Fritsch and Alexander Leonhardi",
year = "2000",
language = "English",
volume = "33",
pages = "1130--1137",
note = "19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 ; Conference date: 16-07-2000 Through 23-07-2000",

}

Download

TY - JOUR

T1 - Multi-scale data sets in distributed environments

AU - Volz, Steffen

AU - Sester, Monika

AU - Fritsch, Dieter

AU - Leonhardi, Alexander

PY - 2000

Y1 - 2000

N2 - Within the scope of the research project "NEXUS" that is being worked on at the University of Stuttgart in cooperation between the Institute for Photogrammetry, the Institute of Parallel and Distributed High-Performance Systems and the Insitute of Communication Networks and Computer Engineering, a generic platform supporting location aware applications with mobile users will be developed. The central component of the infrastructure consists of dynamic spatial models. Since huge amounts of data have to be handled by the platform, they have to be distributed on multiple servers. Furthermore, the spatial data have to be delivered in multiple representations in order to provide the adequate level of detail for each application. The spatially aware applications which are using the spatial models are available for the users on small handheld computers. These computers are amongst others equipped with sensors for positioning and components for mobile communication. Therefore, the applications know the position of the users within the spatial models - they are "location aware". Moreover, the users can receive spatial data from distributed model servers by means of wireless communication. Thus, they can not only move through the real but also through the virtual world. In order to support the users on their way, GIS functionality has to be provided: they have to be able to perform spatial queries on their environment and to navigate themselves through the virtual models and the real world, respectively. The paper will give an introduction to the general concepts of the project. It presents the approaches concerning multiple representations and describes the strategies for distributed data handling that will be applied within the platform, including some remarks on prototypical solutions.

AB - Within the scope of the research project "NEXUS" that is being worked on at the University of Stuttgart in cooperation between the Institute for Photogrammetry, the Institute of Parallel and Distributed High-Performance Systems and the Insitute of Communication Networks and Computer Engineering, a generic platform supporting location aware applications with mobile users will be developed. The central component of the infrastructure consists of dynamic spatial models. Since huge amounts of data have to be handled by the platform, they have to be distributed on multiple servers. Furthermore, the spatial data have to be delivered in multiple representations in order to provide the adequate level of detail for each application. The spatially aware applications which are using the spatial models are available for the users on small handheld computers. These computers are amongst others equipped with sensors for positioning and components for mobile communication. Therefore, the applications know the position of the users within the spatial models - they are "location aware". Moreover, the users can receive spatial data from distributed model servers by means of wireless communication. Thus, they can not only move through the real but also through the virtual world. In order to support the users on their way, GIS functionality has to be provided: they have to be able to perform spatial queries on their environment and to navigate themselves through the virtual models and the real world, respectively. The paper will give an introduction to the general concepts of the project. It presents the approaches concerning multiple representations and describes the strategies for distributed data handling that will be applied within the platform, including some remarks on prototypical solutions.

KW - Distributed databases

KW - Information infrastructure

KW - Location awareness

KW - Multiple representations

UR - http://www.scopus.com/inward/record.url?scp=17044413967&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:17044413967

VL - 33

SP - 1130

EP - 1137

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

SN - 1682-1750

T2 - 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000

Y2 - 16 July 2000 through 23 July 2000

ER -

Von denselben Autoren