Decision making and uncertainty : Bayesian analysis of potential flood heights

Auteurs :
MANSON, S.M.
RATICK, S.J.
SOLOW, A.R.

Description :
This research examines decision making about flooding by joining geographic information system (GIS) methods and spatial analysis to implement Bayesian decision theory. This paper demonstrates the procedure as applied by a hypothetical decision maker concerned with coastal flood controls where flood damage is dependent on the spatial distribution of elevation. A set of known survey points provides the decision maker with limited knowledge of elevation. The method explored in the paper allows the decision maker to ascertain the potential value of additional survey information in terms of its ability to reduce uncertainty about flood damage.


Type de document :
Article de périodique

Source :
Geographical analysis, issn : 0016-7363, 2002, vol. 34, n°. 2, p. 112-129, Collation : Illustration, Références bibliographiques : 27 ref.

Date :
2002

Editeur :
Pays édition : Etats-Unis, Columbus, OH, Ohio State University Press