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Spatial prediction in the presence of positional error

Abstract:

Standard analyses of spatial data assume that measurement and prediction locations are measured precisely. In this paper we consider how appropriate methods of estimation and prediction change when this assumption is relaxed and the locations are subject to positional error. We describe basic models for positional error and assess their impact on spatial prediction. Using both simulated data and lead concentration pollution data from Galicia, Spain, we show how the predictive distributions of...

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Publisher copy:
10.1002/env.1062
Journal:
Environmetrics More from this journal
Volume:
22
Issue:
2
Pages:
109-122
Publication date:
2011-03-01
DOI:
EISSN:
1099-095X
ISSN:
1180-4009
Language:
English
Keywords:
Pubs id:
pubs:389694
UUID:
uuid:61f7de80-7173-4f2e-b14c-478ffb6aba94
Local pid:
pubs:389694
Source identifiers:
389694
Deposit date:
2013-11-16

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