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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Southern African Institute of Mining and Metallurgy
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/69854 |