Details
| Translated title of the contribution | Integration of uncertainty of vector and raster data |
|---|---|
| Original language | German |
| Pages (from-to) | 26-35 |
| Number of pages | 10 |
| Journal | Geo-Informations-Systeme |
| Volume | 11 |
| Issue number | 4 |
| Publication status | Published - Dec 1998 |
| Externally published | Yes |
Abstract
An essential requirement for a comprehensive use of hybrid data is the consideration and processing of its uncertainty. Erroneous interpretations of analyses can be avoided if uncertainty is integrated as a mandatory component, stored and considered in all operations. In this contribution, a probabilistic approach is presented for modelling geometrical and thematic uncertainty. The used hybrid data model is extended to manage data uncertainty. The application of the concept is demonstrated by some examples.
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
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In: Geo-Informations-Systeme, Vol. 11, No. 4, 12.1998, p. 26-35.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Zur integration von Unsicherheit bei Vektor- und Rasterdaten
AU - Fritsch, Dieter
AU - Glemser, Michael
AU - Klein, Ulrike
AU - Sester, Monika
PY - 1998/12
Y1 - 1998/12
N2 - An essential requirement for a comprehensive use of hybrid data is the consideration and processing of its uncertainty. Erroneous interpretations of analyses can be avoided if uncertainty is integrated as a mandatory component, stored and considered in all operations. In this contribution, a probabilistic approach is presented for modelling geometrical and thematic uncertainty. The used hybrid data model is extended to manage data uncertainty. The application of the concept is demonstrated by some examples.
AB - An essential requirement for a comprehensive use of hybrid data is the consideration and processing of its uncertainty. Erroneous interpretations of analyses can be avoided if uncertainty is integrated as a mandatory component, stored and considered in all operations. In this contribution, a probabilistic approach is presented for modelling geometrical and thematic uncertainty. The used hybrid data model is extended to manage data uncertainty. The application of the concept is demonstrated by some examples.
UR - http://www.scopus.com/inward/record.url?scp=0032441438&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:0032441438
VL - 11
SP - 26
EP - 35
JO - Geo-Informations-Systeme
JF - Geo-Informations-Systeme
SN - 0935-1523
IS - 4
ER -