Journal article icon

Journal article

Beyond kriging: Dealing with discontinuous spatial data fields using adaptive prior information and Bayesian partition modelling

Abstract:

The technique of kriging is widely known to be limited by its assumption of stationarity, and performs poorly when the data involve localized effects such as discontinuities or nonlinear trends. A Bayesian partition model (BPM) is compared with results from ordinary kriging for various synthetic discontinuous 1-D functions, as well as for 1986 precipitation data from Switzerland. This latter dataset has been analysed during a comparison of spatial interpolation techniques, and has been interp...

Expand abstract

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics, Clinical Medicine
Role:
Author
Journal:
Geological Society Special Publication
Volume:
239
Issue:
1
Pages:
195-209
Publication date:
2004-01-01
DOI:
EISSN:
2041-4927
ISSN:
0305-8719
URN:
uuid:2375c84c-579c-4441-b3e5-32e9e50d291e
Source identifiers:
104782
Local pid:
pubs:104782
Language:
English

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP