Integrating network structures of different geometric representations

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Sagi Dalyot
  • Tobias Dahinden
  • Malte Jan Schulze
  • Joachim Boljen
  • Monika Sester

Externe Organisationen

  • Landesamt für Vermessung und Geoinformation Schleswig-Holstein
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)428-440
Seitenumfang13
FachzeitschriftSurvey Review
Jahrgang45
Ausgabenummer333
PublikationsstatusVeröffentlicht - 3 Dez. 2013

Abstract

The availability of reliable vector geodata is increasing rapidly. However, there still exists a lack of appropriate tools and processes for integrated data management and analysis solutions that can handle the diversity of geodata, since structural, geometric and topological aspects affect their data modelling. This paper presents a process that is designed to handle not only existing geometric and topological differences but also structural differences associated with the interoperation and representation of 2D networks. While network structures (such as roads) are usually treated as areal objects in cadastre databases, they are also commonly treated as linear objects in topographic databases. Our integration method is designed to solve not only the positional conflicts in the geodata, but also the existing dissimilarities that are the result of different structural geometric representation primitives used. A localised geometric matching process is introduced for aligning these networks, in which distortions are monitored and quantified locally via sets of specifically selected observation constraints derived from the geometric structures. The aim is to assure that spatial consistency of the 2D geodata is maintained. The outcome presents a significant improvement of the initial state, suggesting a reliable solution for the problem of creating a homogenous unified geodata infrastructure with a statistically sound basis.

ASJC Scopus Sachgebiete

Zitieren

Integrating network structures of different geometric representations. / Dalyot, Sagi; Dahinden, Tobias; Schulze, Malte Jan et al.
in: Survey Review, Jahrgang 45, Nr. 333, 03.12.2013, S. 428-440.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Dalyot S, Dahinden T, Schulze MJ, Boljen J, Sester M. Integrating network structures of different geometric representations. Survey Review. 2013 Dez 3;45(333):428-440. doi: 10.1179/1752270613Y.0000000060
Dalyot, Sagi ; Dahinden, Tobias ; Schulze, Malte Jan et al. / Integrating network structures of different geometric representations. in: Survey Review. 2013 ; Jahrgang 45, Nr. 333. S. 428-440.
Download
@article{5570934e29434b28a21fc3db5922b51a,
title = "Integrating network structures of different geometric representations",
abstract = "The availability of reliable vector geodata is increasing rapidly. However, there still exists a lack of appropriate tools and processes for integrated data management and analysis solutions that can handle the diversity of geodata, since structural, geometric and topological aspects affect their data modelling. This paper presents a process that is designed to handle not only existing geometric and topological differences but also structural differences associated with the interoperation and representation of 2D networks. While network structures (such as roads) are usually treated as areal objects in cadastre databases, they are also commonly treated as linear objects in topographic databases. Our integration method is designed to solve not only the positional conflicts in the geodata, but also the existing dissimilarities that are the result of different structural geometric representation primitives used. A localised geometric matching process is introduced for aligning these networks, in which distortions are monitored and quantified locally via sets of specifically selected observation constraints derived from the geometric structures. The aim is to assure that spatial consistency of the 2D geodata is maintained. The outcome presents a significant improvement of the initial state, suggesting a reliable solution for the problem of creating a homogenous unified geodata infrastructure with a statistically sound basis.",
keywords = "Adjustment, Alignment, Automation, Geometry, GIS, Integration",
author = "Sagi Dalyot and Tobias Dahinden and Schulze, {Malte Jan} and Joachim Boljen and Monika Sester",
year = "2013",
month = dec,
day = "3",
doi = "10.1179/1752270613Y.0000000060",
language = "English",
volume = "45",
pages = "428--440",
journal = "Survey Review",
issn = "0039-6265",
publisher = "Taylor and Francis Ltd.",
number = "333",

}

Download

TY - JOUR

T1 - Integrating network structures of different geometric representations

AU - Dalyot, Sagi

AU - Dahinden, Tobias

AU - Schulze, Malte Jan

AU - Boljen, Joachim

AU - Sester, Monika

PY - 2013/12/3

Y1 - 2013/12/3

N2 - The availability of reliable vector geodata is increasing rapidly. However, there still exists a lack of appropriate tools and processes for integrated data management and analysis solutions that can handle the diversity of geodata, since structural, geometric and topological aspects affect their data modelling. This paper presents a process that is designed to handle not only existing geometric and topological differences but also structural differences associated with the interoperation and representation of 2D networks. While network structures (such as roads) are usually treated as areal objects in cadastre databases, they are also commonly treated as linear objects in topographic databases. Our integration method is designed to solve not only the positional conflicts in the geodata, but also the existing dissimilarities that are the result of different structural geometric representation primitives used. A localised geometric matching process is introduced for aligning these networks, in which distortions are monitored and quantified locally via sets of specifically selected observation constraints derived from the geometric structures. The aim is to assure that spatial consistency of the 2D geodata is maintained. The outcome presents a significant improvement of the initial state, suggesting a reliable solution for the problem of creating a homogenous unified geodata infrastructure with a statistically sound basis.

AB - The availability of reliable vector geodata is increasing rapidly. However, there still exists a lack of appropriate tools and processes for integrated data management and analysis solutions that can handle the diversity of geodata, since structural, geometric and topological aspects affect their data modelling. This paper presents a process that is designed to handle not only existing geometric and topological differences but also structural differences associated with the interoperation and representation of 2D networks. While network structures (such as roads) are usually treated as areal objects in cadastre databases, they are also commonly treated as linear objects in topographic databases. Our integration method is designed to solve not only the positional conflicts in the geodata, but also the existing dissimilarities that are the result of different structural geometric representation primitives used. A localised geometric matching process is introduced for aligning these networks, in which distortions are monitored and quantified locally via sets of specifically selected observation constraints derived from the geometric structures. The aim is to assure that spatial consistency of the 2D geodata is maintained. The outcome presents a significant improvement of the initial state, suggesting a reliable solution for the problem of creating a homogenous unified geodata infrastructure with a statistically sound basis.

KW - Adjustment

KW - Alignment

KW - Automation

KW - Geometry

KW - GIS

KW - Integration

UR - http://www.scopus.com/inward/record.url?scp=84887107273&partnerID=8YFLogxK

U2 - 10.1179/1752270613Y.0000000060

DO - 10.1179/1752270613Y.0000000060

M3 - Article

AN - SCOPUS:84887107273

VL - 45

SP - 428

EP - 440

JO - Survey Review

JF - Survey Review

SN - 0039-6265

IS - 333

ER -

Von denselben Autoren