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Compositional kriging for geological heterogeneity : (Record no. 24236)

MARC details
000 -LEADER
fixed length control field 02911nam a22002897a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260609t2025 bx ab||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Qualifying information hardback
040 ## - CATALOGING SOURCE
Original cataloging agency Universiti Teknologi Brunei
Language of cataloging eng
Transcribing agency UTB
084 ## - BOOK Call Number
Classification number UTB 120 REPORT, THESIS & DISSERTATION
-- RTDS 422
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kim, Ahram
Relator term author.
245 10 - TITLE STATEMENT
Title Compositional kriging for geological heterogeneity :
Remainder of title enhanced spatial orediction framework /
Statement of responsibility, etc. Ahram Kim
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bandar Seri Begawan :
Name of publisher, distributor, etc. Universiti Teknologi Brunei,
Date of publication, distribution, etc. 2025.
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 260 pages :
Other physical details illustrations, maps ;
Dimensions 30 cm.
500 ## - GENERAL NOTE
General note Submitted in fulfilment of the requirements for the degree of Doctor in Philosophy.
500 ## - GENERAL NOTE
General note ABSRACT<br/>This thesis presents an advanced spatial prediction framework based on compositional kriging for the analvsis of datasets that exhibit both compositional constraints and spatial heterogeneity. By integrating isometric log-ratio (il) transformations, the method preserves the geometry of the simplex space, ensuring statistically coherent spatial modelling of compositional data. The study applies this framework across four diverse case studies to demonstrate its adaptability and accuracy: demographic compositions in Texas, sediment facies on Long Island, coal seam thickness in Queensland, and grain size distributions from outcrops in Brunei. In the Long Island case, compositional kriging was compared with ordinary kriging and showed improved spatial interpolation accuracy, as validated by metrics such as Root Mean Square Error and Mean Squared Error. For the other datasets, compositional kriging produced accurate and reliable spatial predictions, with interpolated distribution shapes closelv matching the original data and effectivelv capturing spatial variability. The interpolated distribution shapes closely matched the original data in each case, underscoring the method's reliability. It makes a significant contribution to spatial statistics by integrating compositional data analysis with geostatistical modelling. The proposed approach provides a robust, accurate, and flexible tool for geoscientific prediction tasks, particularly where data are multimodal and spatially dependent. The results highlight compositional kriging's potential as a preferred method for future studies involving complex spatial datasets.
502 ## - Dissertation Note
Dissertation Note Dissertation (Doctor of Philosophy) - Universiti Teknologi Brunei (2025)
504 ## - Bibliography, Etc. Note
Bibliography, Etc. Note Includes references and appendix
610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Unversiti Teknologi Brunei
Form subdivision Thesis
610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
Form subdivision Final Year Report
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dissertation, Academic
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Thesis writing
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dissertation Universiti Teknologi Brunei
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering
Form subdivision Petroleum and Chemical
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Local Classification
Koha item type Reports, Thesis & Dissertation Students
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Internal field Report, Thesis & Dissertation
CC (RLIN) 850594 : 002466 c.1 UTB
Internal field Universiti Teknologi Brunei
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Public note
    Local Classification Not damaged   Universiti Teknologi Brunei Library Universiti Teknologi Brunei Library - at level 2 12/08/2025 Universiti Teknologi Brunei   UTB 120 REPORT THESIS & DISSERTATION, RTDS 422 850594 09/06/2026 c. 1 09/06/2026 Reports, Thesis & Dissertation Students Reg. No. 002466_UTB [RTDS 422]

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