Accounting for a spatial trend in fine-scale ground-penetrating radar data: A comparative case study

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Accounting for a spatial trend in fine-scale ground-penetrating radar data: A comparative case study

In geostatistics, one of the challenges is to account for the spatial trend that is evident in a data-set. Two well-known kriging algorithms, namely universal kriging (UK) and intrinsic random function of order k (IRF-k), are mainly used to deal with the trend apparent in the data-set. These two alg...

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Bibliographic Details
Main Authors:	Dagasan, Y., Erten, Oktay, Topal, Erkan
Format:	Journal Article
Published:	Southern African Institute of Mining and Metallurgy 2018
Online Access:	http://hdl.handle.net/20.500.11937/69854

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