(Article of periodic en Anglais - 1997)

Document title

Modeling the uncertainty of slope and aspect estimates derived from spatial databases

Authors(s) and Affiliation(s)

(1) National Center for Geographic Information and Analysis, University of California, Santa Barbara, ETATS-UNIS


The AA. show that errors in slope and aspect depend on the spatial structure of digital elevation models (DEM) errors. They propose a general-purpose model of DEM errors in which a spatially autoregressive random field is added as a disturbance term to elevations. In addition, they propose a general procedure for propagating such errors through GIS operations. In the absence of explicit information on the spatial structure of DEM errors, they demonstrate the potential utility of a worst-case analysis. A series of simulations are used to make general observations about the nature and severity of slope and aspect errors


Article of periodic

published at : Geographical analysis / ISSN 0016-7363

Editor : Ohio State University Press, Columbus, OH - ETATS-UNIS (1969)

Millesime : 1997, vol. 29, no1 [pp. 35-49]

Bibliographic references : 33 ref.

Collation : Illustration ;



INIST-CNRS, Cote INIST : 17078

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 1997.
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