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(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)

HUNTER G.J. ; GOODCHILD M.F. (1) ;
(1) National Center for Geographic Information and Analysis, University of California, Santa Barbara, ETATS-UNIS

Abstract

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

Source

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 ;

Language

Anglais

INIST-CNRS, Cote INIST : 17078

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