ISSN:
1573-8868
Keywords:
classification
;
Markov processes
;
geomorphology
;
hillslopes
Source:
Springer Online Journal Archives 1860-2000
Topics:
Geosciences
,
Mathematics
Notes:
Abstract If considered as a sequence of morphological units, hillslopes can be treated as realizations of a stochastic process in which morphological units correspond to events and their attributes (e.g., slope)to values. A first-order, discrete-state, discrete-time Markov model, applied to a group of hillslopes measured in Calabria, explained a significant part of the hillslope morphology. A Markov property was determined to be present in the sequence of slopes and lengths of the morphological units. In the subsequent analysis of the Markov property in the sequence of slopes, an optimum transition scheme was developed. This indicated, inter alia,that concavity in the hillslope was most probable where the slope was in the range from 7° to 〈9°. The hillslopes were divided into classes based upon their geomorphological position. The resulting transition probability matrices and their derivatives were examined for significant differences.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01031091
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