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Interpolation in stationary spatial and spatial-temporal datasets
Dissertation (MSc)--University of Pretoria, 2010.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613573964890112 |
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| access_status_str | Open Access |
| author2 | Boraine, H. |
| author_browse | Boraine, H. |
| author_facet | Boraine, H. |
| collection | Thesis |
| dc_rights_str_mv | © 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2010. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/29090 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:38:18.160Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/29090 Interpolation in stationary spatial and spatial-temporal datasets Boraine, H. ansie18@yahoo.com Smit, Ansie Spatial Statistical tool Mining sector Spatial-temporal Datasets UCTD Dissertation (MSc)--University of Pretoria, 2010. In the early 1950s the study on how to determine true ore-grade distributions in the mining sector, sparked the development of a series of statistical tools that specifically allows for spatial and subsequently spatial-temporal dependence. These statistics are commonly referred to as geostatistics, and has since been incorporated in several fields of study characterized by this dependence. Basic descriptive statistics and mapping tools for geostatistics are defined and illustrated by means of a simulated dataset. The moments are modelled according to predefined conditions and model structures to describe the spatial and spatial-temporal variance in the data. These variograms and covariance structures are subsequently utilized in the least square procedure, namely kriging. At present, kriging is most commonly used in geostatistics for the interpolation and simulation of spatial or spatial-temporal data. The univariate and multivariate spatial and spatial-temporal kriging techniques are tested on the simulated dataset, to demonstrate how interpolation weights are determined according to the lag distances and underlying variance structure. The strength, weaknesses and inherent complexities of the methodologies are highlighted. Statistics unrestricted 2013-09-07T14:51:47Z 2010-10-27 2013-09-07T14:51:47Z 2010-09-02 2010-10-27 2010-10-27 Dissertation Smit, A 2010, Interpolation in stationary spatial and spatial-temporal datasets, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/29090 > E10/741/gm http://hdl.handle.net/2263/29090 http://upetd.up.ac.za/thesis/available/etd-10272010-190111/ © 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Spatial Statistical tool Mining sector Spatial-temporal Datasets UCTD Interpolation in stationary spatial and spatial-temporal datasets |
| title | Interpolation in stationary spatial and spatial-temporal datasets |
| title_full | Interpolation in stationary spatial and spatial-temporal datasets |
| title_fullStr | Interpolation in stationary spatial and spatial-temporal datasets |
| title_full_unstemmed | Interpolation in stationary spatial and spatial-temporal datasets |
| title_short | Interpolation in stationary spatial and spatial-temporal datasets |
| title_sort | interpolation in stationary spatial and spatial temporal datasets |
| topic | Spatial Statistical tool Mining sector Spatial-temporal Datasets UCTD |
| url | http://hdl.handle.net/2263/29090 http://upetd.up.ac.za/thesis/available/etd-10272010-190111/ |