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Sensitivity analysis of a decision tree classification to input data errors using a general Monte Carlo error sensitivity model

Huang, Zhi; Laffan, Shawn

Description

We analysed the sensitivity of a decision tree derived forest type mapping to simulated data errors in input digital elevation model (DEM), geology and remotely sensed (Landsat Thematic Mapper) variables. We used a stochastic Monte Carlo simulation model

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
URI: http://hdl.handle.net/1885/57334
Source: International Journal of Geographical Information Science
DOI: 10.1080/13658810802634949

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