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DC Field | Value | Language |
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dc.contributor.author | Azizi Ali | - |
dc.date.accessioned | 2018-01-19T09:39:42Z | - |
dc.date.available | 2018-01-19T09:39:42Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/8050 | - |
dc.description.abstract | The main challenge in most of the marine environmental monitoring studies has always been the difficulties and high cost during data collection and analysis process. Therefore, researchers have to carefully plan such as in determine the suitable sampling scheme and total number of sampling station in order to produce the good results. To counter this inadequacy, researchers usually have to use prediction and estimation data within the sampling location in order to produce better data representation of the study area. Therefore, important for researchers to determine the most suitable error estimation techniques used especially in spatial monitoring where interpolation dataset will be used due to the limited field sampling data. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Terengganu: Universiti Malaysia Terengganu | en_US |
dc.subject | QE 33.2 .S82 A9 2015 | en_US |
dc.subject | Azizi Ali | en_US |
dc.subject | Geology - Statistical methods | en_US |
dc.title | Determination of geo-statistical technique for optimisation of spatial oceanographic data | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Institut Oseanografi |
Files in This Item:
File | Description | Size | Format | |
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QE 33.2 .S82 A9 2015 Abstract.pdf | 37.44 kB | Adobe PDF | View/Open | |
QE 33.2 .S82 A9 2015 Full Text.pdf Restricted Access | 5.19 MB | Adobe PDF | View/Open Request a copy |
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